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Current NAISS, SNIC and LiU Projects at NSC

This page shows projects at NSC. You may also want to look at the list for NAISS/SNIC.

Research Areas

Based on the three-digit level from Standard för svensk indelning av forskningsämnen applied to the primary classification:

Mathematics (16)
Computer and Information Sciences (118)
Physical Sciences (157)
Chemical Sciences (100)
Earth and Related Environmental Sciences (48)
Biological Sciences (67)
Other Natural Sciences (4)
Civil Engineering (2)
Electrical Engineering, Electronic Engineering, Information Engineering (22)
Mechanical Engineering (51)
Chemical Engineering (1)
Materials Engineering (5)
Medical Engineering (11)
Environmental Engineering (5)
Nano-technology (2)
Basic Medicine (17)
Clinical Medicine (4)
Medical Biotechnology (1)
Agricultural Biotechnology (1)
Economics and Business (7)
Sociology (5)
Political Science (2)
Languages and Literature (1)

Mathematics (16)

Bayesian Optimization with Large-scale samplinig: Carl Hvarfner, Lunds universitet
2022-04-25 – 2023-05-01
DEEPMECH: Deep-learning methods to tackle outstanding problems in engineering mechanics: Ricardo Vinuesa, Kungliga Tekniska högskolan
2023-02-25 – 2023-09-01
Deep Learning Uncertainty using Self-Supervised Learning: Per Sidén, Linköpings universitet
2022-12-01 – 2023-06-01
Efficient methods for challenging routing problems: Nils-Hassan Quttineh, Linköpings universitet
2023-03-28 – 2024-04-01
Explainable machine learning methods for data-driven risk management: Marcus Häggbom, Kungliga Tekniska högskolan
2022-11-21 – 2023-06-01
Finance research: Jörgen Blomvall, Linköpings universitet
2021-07-30 – 2024-03-01
High-dimensional entropy estimation with applications to deep learning: Viktor Nilsson, Kungliga Tekniska högskolan
2023-01-09 – 2023-08-01
Integrated scRegClust: Rebecka Jörnsten, Göteborgs universitet
2023-03-30 – 2024-04-01
Multiscale simulations of hybrid continuum-discrete-stochastic systems: Adrian Muntean, Karlstads universitet
2022-12-02 – 2023-12-01
Numerical methods for optimization problems arising in ML: Måns Williamson, Lunds universitet
2023-03-29 – 2023-10-01
Operations Research Methods for Scheduling and Resource Allocation Problems: Elina Rönnberg, Linköpings universitet
2023-01-01 – 2024-01-01
Operations Research Methods for Scheduling and Resource Allocation Problems: Elina Rönnberg, Linköpings universitet
2023-01-01 – 2024-01-01
Simulation of Slow Sand Filters: Jaime Manriquez, Lunds universitet
2023-02-10 – 2024-03-01
Sparse and large-scale flexible matrix integration: Felix Held, Göteborgs universitet
2023-02-23 – 2024-03-01
Super-resolution with diffusion models: Zheng Zhao, Uppsala universitet
2023-02-25 – 2023-09-01
The stability of bivariate correlations: A Bayesian approach: Carl Delfin, Lunds universitet
2022-12-04 – 2024-01-01

Computer and Information Sciences (118)

(WASP project) Beyond supervised learning for semantic analysis of visual data: Sebastian Bujwid, Kungliga Tekniska högskolan
2023-01-03 – 2023-08-01
A pilot macromolecular 3D structure determination project - Year 10: Martin Moche, Linköpings universitet
2022-09-01 – 2023-09-01
AI for healthcare: Fredrik Johansson, Chalmers tekniska högskola
2023-01-27 – 2024-02-01
Artifical intelligence use in COVID19 and cell death research: Sonja Aits, Lunds universitet
2022-10-27 – 2023-05-01
Artificial Intelligence for Physics and Engineering: Modeling and Simulation: Jose Luis Lima de Jesus Silva, Linköpings universitet
2022-09-08 – 2023-10-01
AutoDeep: Automatic Design of Safe, High-Performance and Compact Deep Learning Models for Autonomous Vehicles: Masoud Daneshtalab, Mälardalens universitet
2022-12-21 – 2023-07-01
Bayesian Reinforcement Learning: Divya Grover, Chalmers tekniska högskola
2023-04-01 – 2023-10-01
Bayesian optimization: Luigi Nardi, Lunds universitet
2022-05-02 – 2023-06-01
Benchmarking Machine Learning Inference Over Streaming Data: Sonia florina Horchidan, Kungliga Tekniska högskolan
2023-03-01 – 2024-03-01
Berzelius Access for NSC Guests: Johan Raber, Linköpings universitet
2021-09-07 – 2023-05-23
CSP classification: George Osipov, Linköpings universitet
2023-03-22 – 2023-08-01
Closing the Modality Gap of CLIP embedding space: Peiyang Shi, Kungliga Tekniska högskolan
2023-03-03 – 2023-10-01
Comparing Abstract Interpretation and Linear Programming Based Verifications of Neural Networks: Ahmed Rezine, Linköpings universitet
2022-10-25 – 2023-11-01
Complex Networks, WASP PhD project: Yifei Jin, Kungliga Tekniska högskolan
2023-02-08 – 2023-09-01
Computer vision for robotic manipulation: Zehang Weng, Kungliga Tekniska högskolan
2022-11-07 – 2023-06-01
DL4NLP: Deep Learning for Natural Language Processing: Marco Kuhlmann, Linköpings universitet
2023-04-01 – 2023-10-01
Datasets for Autonomous Driving: Georg Hess, Chalmers tekniska högskola
2023-03-31 – 2023-07-01
Decoupled Abstraction Heuristics: Daniel Gnad, Linköpings universitet
2022-10-26 – 2023-11-01
Deep Federated Learning using Transformers: Sargam Gupta, Umeå universitet
2023-02-13 – 2023-09-01
Deep Learning and Machine Learning for Music and Interactive Arts: Kivanc Tatar, Chalmers tekniska högskola
2023-01-04 – 2023-08-01
Deep Learning for the Physical World: Mårten Björkman, Kungliga Tekniska högskolan
2023-04-01 – 2023-10-01
Deep learning based species classification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy: Erik Hallström, Uppsala universitet
2023-04-01 – 2023-10-01
Deep learning for high-throuput data: Mika Gustafsson, Linköpings universitet
2022-09-06 – 2023-10-01
Deep learning for high-throuput data: Mika Gustafsson, Linköpings universitet
2022-05-11 – 2023-06-01
Deep learning for high-throuput data: Mika Gustafsson, Linköpings universitet
2022-05-11 – 2023-06-01
DeepVision: Deep Learning for Robot Vision: Michael Felsberg, Linköpings universitet
2023-01-01 – 2023-07-01
Diffusion Based Generative Models for Causal Representation Learning: Stefan Bauer, Kungliga Tekniska högskolan
2022-11-01 – 2023-05-01
Document level relation extraction for knowledge graph generation: Eva Blomqvist, Linköpings universitet
2021-05-27 – 2023-06-01
Efficient Enumeration of Ground Actions for Lifted Classical Planning: Simon Ståhlberg, Linköpings universitet
2022-04-07 – 2023-05-01
Electric fields in enzymes: Yasmin Binti Shamsudin, Uppsala universitet
2023-02-01 – 2023-12-01
End-to-end learning for protein docking: Arne Elofsson, Stockholms universitet
2022-12-01 – 2023-06-01
Explaining Predictions From Tree Ensembles with Satisfying Assignments: John Törnblom, Linköpings universitet
2022-04-18 – 2023-05-01
FASTER-ΑΙ: Fully Autonomous Safety- and Time-critical Embedded Realization of Artificial Intelligence: Masoud Daneshtalab, Mälardalens universitet
2023-02-27 – 2023-07-01
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries: Yifei He, Kungliga Tekniska högskolan
2022-10-24 – 2023-11-01
Federated Learning of Support Vector Machines: Alexander Schliep, Göteborgs universitet
2023-03-01 – 2024-03-01
GPT-SW3-TEXTAD: Daniel Holmer, Linköpings universitet
2023-01-09 – 2024-02-01
General PhD research project for WASP funded student: Daniel Gedon, Uppsala universitet
2023-02-13 – 2023-09-01
Generative models for model based reinforcement learning: Emilio Jorge, Chalmers tekniska högskola
2022-10-10 – 2023-11-01
Genomic signatures: Joel Gustafsson, Göteborgs universitet
2023-02-01 – 2024-02-01
Geometric Deep Learning for Computer Vision: Georg Bökman, Chalmers tekniska högskola
2023-02-08 – 2023-09-01
Graph-based, spatial and temporal machine learning: Fredrik Lindsten, Linköpings universitet
2023-04-01 – 2023-10-01
Grounded Language Learning for planning and acting: Martin Funkquist, Linköpings universitet
2022-11-21 – 2023-06-01
HASTE: Hierarchical Analysis of Spatial and Temporal Data: Carolina Wählby, Uppsala universitet
2023-03-31 – 2023-10-01
High-Dimensional Bayesian Optimization: Leonard Papenmeier, Lunds universitet
2023-02-08 – 2023-09-01
High-level parallel programming frameworks for heterogeneous clusters: Christoph Kessler, Linköpings universitet
2023-01-01 – 2024-01-01
Horse 3D reconstruction: Ci Li, Kungliga Tekniska högskolan
2023-03-08 – 2023-10-01
Human Protein Atlas - Protein structure prediction using AlphaFold: Kalle von Feilitzen, Kungliga Tekniska högskolan
2023-02-28 – 2023-09-01
Image Denoising with Stochastic Differential Equations: Ziwei Luo, Uppsala universitet
2022-11-21 – 2023-06-01
Image based cellular phenotypic profiling and machine learning for predicting of toxicological modes of action: Nikolai Scherbak, Örebro universitet
2022-11-28 – 2023-12-01
Image based cellular phenotypic profiling and machine learning for predicting of toxicological modes of action: Nikolai Scherbak, Örebro universitet
2022-11-26 – 2023-12-01
Improving null space learning by pruning and rank limitation: Dorian Staudt, Chalmers tekniska högskola
2022-10-24 – 2023-05-01
Insilico analysis of epitope-based vaccine design against the systemic lupus erythematous: Combinatorial biophysics and bioinformatics studies: Shailesh Samal, Karolinska Institutet
2022-08-08 – 2023-09-01
Integrative Analysis of Quantitative Trait Loci: Wen Zhong, Linköpings universitet
2023-01-27 – 2023-08-01
Interactive Music Systems and AI: Kelsey Cotton, Chalmers tekniska högskola
2023-01-11 – 2023-08-01
Language models for Swedish in collaboration with AI Sweden and RISE: Johanna Björklund, Umeå universitet
2022-10-03 – 2023-05-01
Large-Scale Machine Learning for Single-Cell Data and Cancer: Jens Lagergren, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Large-Scale Online Bayesian Phylogenetics: Jakub Truszkowski, Göteborgs universitet
2022-11-26 – 2023-12-01
Large-Scale Spatio-Temporal Reasoning and Learning: Fredrik Heintz, Linköpings universitet
2023-01-10 – 2023-08-01
Learnier Hierarchies for Classical Planning: Dominik Drexler, Linköpings universitet
2022-09-01 – 2023-09-01
Learning (to improve) Optimal LP based planning heuristics: Paul Höft, Linköpings universitet
2022-11-07 – 2023-12-01
Learning Dynamic Algorithms for Automated Planning: Jendrik Seipp, Linköpings universitet
2023-02-20 – 2023-07-01
Learning Dynamic Algorithms for Automated Planning: Jendrik Seipp, Linköpings universitet
2022-07-01 – 2023-07-01
Learning General Policies for Planning using GNNs and Transformers: Markus Fritzsche, Linköpings universitet
2022-11-10 – 2023-06-01
Learning based motion planning: Bernhard Wullt, Uppsala universitet
2023-02-27 – 2023-09-01
Learning to Solve Conditionally Convex Problems: Paul Häusner, Uppsala universitet
2022-11-01 – 2023-05-01
Learning to communicate with deep reinforcement learning: Emil Carlsson, Chalmers tekniska högskola
2022-11-02 – 2023-12-01
LiU-kurs Programming Parallel Computers TDDC78: Christoph Kessler, Linköpings universitet
2023-03-01 – 2024-03-01
LiU-kurs: Big Data Analytics TDDE31 / 732A54: Olaf Hartig, Linköpings universitet
2023-04-01 – 2023-08-01
LivEpiMod Storage: Tom Lindström, Linköpings universitet
2023-03-01 – 2024-03-01
Local Force Field Adjustment and Differential Analysis of Structure Mutations in iCn3d: Marina Herrera Sarrias, Stockholms universitet
2022-08-17 – 2023-05-01
MCMC for Stellar Magnetic Field Reconstruction: Jennifer Andersson, Uppsala universitet
2023-01-18 – 2023-08-01
Machine learning for adversarial environments: György Dán, Kungliga Tekniska högskolan
2022-12-01 – 2023-12-01
Machine learning for causal inference with applications in healthcare: Fredrik Johansson, Chalmers tekniska högskola
2023-01-18 – 2024-02-01
Machine learning for improved decision making: Newton Mwai Kinyanjui, Chalmers tekniska högskola
2022-09-02 – 2023-10-01
Making Datasets Generally Available at NSC: Johan Raber, Linköpings universitet
2020-10-26 – 2023-11-01
Management Beyond the Edge: Eunil Seo, Umeå universitet
2023-04-01 – 2023-10-01
Modelling of transient protein-protein interactions relevant for human health: Björn Wallner, Linköpings universitet
2022-06-28 – 2023-07-01
Modelling of transient protein-protein interactions relevant for human health: Björn Wallner, Linköpings universitet
2022-05-01 – 2023-05-01
Modelling of transient protein-protein interactions relevant for human health: Björn Wallner, Linköpings universitet
2022-05-01 – 2023-05-01
Modes and Mechanisms in Reinforcement Learning for Robotics: Alexander Dürr, Lunds universitet
2023-03-02 – 2024-04-01
Modifying and retraining AlphaFold2 to integrate experimental information: Claudio Mirabello, Linköpings universitet
2022-11-01 – 2023-05-01
Modulation of receptor function and enzyme evolution via optimized mutagenesis designs: Hugo Gutierrez de Teran, Uppsala universitet
2023-03-31 – 2023-10-01
Molecular evolution of antibiotic resistance: Yasmin Binti Shamsudin, Uppsala universitet
2022-12-01 – 2023-12-01
Molecular evolution of antibiotic resistance: Yasmin Binti Shamsudin, Uppsala universitet
2022-12-01 – 2023-12-01
More storage for tumor trees.: Jens Lagergren, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Multi-Objective Reinforcement Learning for Agent-Based Simulation: Johan Källström, Linköpings universitet
2022-12-01 – 2023-06-01
Multi-Task Multi-Modal Meta learning: Marcus Liwicki, Luleå tekniska universitet
2022-11-01 – 2023-05-01
Natural Language Processing for Autonomous Driving Systems: Georg Hess, Chalmers tekniska högskola
2022-12-02 – 2023-07-01
Neural networks for extraction of multi-omics modules: Hendrik Arnold De Weerd, Högskolan i Skövde
2022-09-01 – 2023-09-01
Novel AI Methods for Experimentally Constrained Protein Structure Prediction: Gabriel Ducrocq, Linköpings universitet
2023-01-03 – 2023-08-01
ORB: Evaluating AI-assisted Graph Database Query Support: Paris Carbone, Kungliga Tekniska högskolan
2023-02-24 – 2023-09-01
Parallel Construction of Variable-Length Markov Chains: Alexander Schliep, Göteborgs universitet
2023-02-24 – 2024-03-01
Physicalchemical profiling of organisms: Eloy Vallina Estrada, Stockholms universitet
2022-10-01 – 2023-10-01
Physicalchemical profiling of organisms: Eloy Vallina Estrada, Stockholms universitet
2022-10-01 – 2023-10-01
Pose and shape inference with machine learning: Lucas Brynte, Chalmers tekniska högskola
2023-04-01 – 2023-10-01
Robot Skill Learning: Elin Anna Topp, Lunds universitet
2023-04-01 – 2024-04-01
Robust Computer Vision: Simon Kristoffersson Lind, Lunds universitet
2023-01-03 – 2023-08-01
Robust disease modules: Mika Gustafsson, Linköpings universitet
2022-09-06 – 2023-10-01
Role of small noncoding RNA in multiple sclerosis: Tejaswi Venkata Satya Badam, Karolinska Institutet
2022-11-10 – 2023-12-01
SSL-TTS: Siyang Wang, Kungliga Tekniska högskolan
2023-04-01 – 2023-10-01
Secure Communication Mechanisms for Trustworthy Vehicular Coordination: Mikael Asplund, Linköpings universitet
2021-04-26 – 2023-05-01
Self-supervised Transformer-based Representation Learning for Autonomous Vehicle Vision: Hariprasath Govindarajan, Linköpings universitet
2022-12-01 – 2023-06-01
Semantic Room Layout Estimation from Multiple Views: David Gillsjö, Lunds universitet
2022-11-01 – 2023-05-01
Semi-supervised multi-task deep learning: Miquel Marti, Kungliga Tekniska högskolan
2023-03-01 – 2023-09-01
Sigma V100 GPU access for "High-level parallel programming frameworks for heterogeneous clusters": Christoph Kessler, Linköpings universitet
2021-01-26 – 2024-01-01
Simulating Physics with Graph Networks: Rickard Armiento, Linköpings universitet
2022-10-18 – 2023-05-01
Single-Cell Copy Number data: Jens Lagergren, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
SmartWork: Estimation of cognitive state in elderly office workers: Rita Kovordanyi, Linköpings universitet
2021-06-17 – 2023-07-01
TextAD-LiU-GPU: Daniel Holmer, Linköpings universitet
2023-03-03 – 2024-04-01
Topology-based feature extraction and tracking in time-varying spatial muti-field data: Talha Bin Masood, Linköpings universitet
2023-01-16 – 2024-02-01
Training and Understanding Modern Deep Networks: Hossein Azizpour, Kungliga Tekniska högskolan
2023-04-01 – 2023-10-01
Transfer learning of deep learning vision models: Mohammad Moein Sorkhei, Kungliga Tekniska högskolan
2023-03-01 – 2023-09-01
Underwater SLAM with sidescan sonar: Yiping Xie, Kungliga Tekniska högskolan
2023-01-01 – 2023-07-01
Unsupervised Landmark detection: Markus Ekvall, Kungliga Tekniska högskolan
2023-03-30 – 2023-10-01
WASP- Private Model selection: Ayush Kumar Varshney, Umeå universitet
2022-12-01 – 2023-06-01
WASP-FL-DL: Sourasekhar Banerjee, Umeå universitet
2022-12-01 – 2023-06-01
iHorse – improving air quality and Health risk forecasts by data-driven modelling of traffic and atmospheric environment: Xiaoliang Ma, Kungliga Tekniska högskolan
2022-11-29 – 2023-06-01
methylr: an analysis tool for DNA methylation analysis: Jyotirmoy Das, Linköpings universitet
2022-08-15 – 2023-09-01

Physical Sciences (157)

Ab initio calculation of oxygen vacancies migration and polaron hopping in CeO2 nanoparticles: Anastasiia Kholtobina, Kungliga Tekniska högskolan
2022-05-03 – 2023-06-01
Ab initio crystal structure search and modeling of new oxide-based thermoelectric materials: Isabella Concina, Luleå tekniska universitet
2022-12-21 – 2024-01-01
Ab initio crystal structure searching for novel superconductors: Ralph Scheicher, Uppsala universitet
2022-05-01 – 2023-05-01
Ab initio crystal structure searching for novel superconductors: Ralph Scheicher, Uppsala universitet
2022-05-01 – 2023-05-01
Ab initio multiscale modelling of multiferroic and magnetic systems for memory applications: Vladislav Borisov, Uppsala universitet
2022-11-01 – 2023-11-01
Ab initio nuclear theory: Christian Forssén, Chalmers tekniska högskola
2022-08-09 – 2023-09-01
Ab-initio Calculations for the Design of Functional Nanoscale Thin Film Materials: Lars Hultman, Linköpings universitet
2022-07-01 – 2023-07-01
Ab-initio Calculations for the Design of Functional Nanoscale Thin Film Materials: Lars Hultman, Linköpings universitet
2022-06-01 – 2023-06-01
Accelerated ab initio molecular dynamics: plastic deformation in ceramics: Davide Sangiovanni, Linköpings universitet
2022-12-01 – 2023-12-01
Accelerated ab initio molecular dynamics: plastic deformation in ceramics: Davide Sangiovanni, Linköpings universitet
2023-01-27 – 2023-11-01
Adaptive optimization of bosonic quantum information processing: Patric Holmvall, Chalmers tekniska högskola
2023-02-28 – 2023-09-01
Advanced materials simulations, from quantum physics to green technology: Olle Eriksson, Uppsala universitet
2022-07-01 – 2023-07-01
Advancing semiconductor-based quantum sensing and quantum computing by predictive numerical simulations: Viktor Ivády, Linköpings Universitet, Eötvös Loránd University
2023-01-26 – 2024-02-01
Advancing semiconductor-based quantum sensing and quantum computing by predictive numerical simulations: Viktor Ivády, Linköpings Universitet, Eötvös Loránd University
2023-01-26 – 2024-02-01
Astrophysical turbulence and dynamo action: Axel Brandenburg, NORDITA
2023-01-01 – 2024-01-01
Astrophysical turbulence and dynamo action: Axel Brandenburg, NORDITA
2023-01-01 – 2024-01-01
Astrophysics at the Extremes: The Death of Massive Stars: Evan Patrick O'Connor, Stockholms universitet
2023-01-01 – 2024-01-01
Astrophysics at the Extremes: The Death of Massive Stars: Evan Patrick O'Connor, Stockholms universitet
2023-01-01 – 2024-01-01
Atomic Scale Modeling of Alloys and Functional Materials: Paul Erhart, Chalmers tekniska högskola
2023-01-27 – 2024-02-01
Atomic Scale Modeling of Alloys and Functional Materials: Paul Erhart, Chalmers tekniska högskola
2023-01-26 – 2024-02-01
Atomic and electronic structure of ultrathin cobalt oxides: Lindsay Richard Merte, Malmö universitet
2022-04-28 – 2023-05-01
Atomistic Modeling of Unconventional Alloys for Solar-Energy Applications: Clas Persson, Kungliga Tekniska högskolan
2022-09-02 – 2023-10-01
Atomistic Modeling of Unconventional Alloys for Solar-Energy Applications: Clas Persson, Kungliga Tekniska högskolan
2022-09-02 – 2023-10-01
Atomistic modeling of materials for solar energy applications: Julia Wiktor, Chalmers tekniska högskola
2022-12-01 – 2023-12-01
Band structure and Fermi surface calculations using hybrid funtional calculations of novel MXene nanosheets: Martin Magnuson, Linköpings universitet
2023-04-01 – 2024-04-01
Building controlled theory for high-temperature superconductors: negative-U Hubbard chains as key testbeds: Adrian Kantian, Uppsala universitet
2022-07-05 – 2023-07-01
Calculations of XANES, XPS and RIXS spectra of electron-correlated systems: Sergei Butorin, Uppsala universitet
2022-09-05 – 2023-10-01
Cell segmentation using machine and deep learning: Magnus Andersson, Umeå universitet
2023-03-30 – 2024-04-01
Circular Dichroism Simulation of Chiral Photovoltaic Materials: Li Wan, Linköpings universitet
2021-04-06 – 2023-05-01
Coherent and incoherent diffraction simulations of small crystals: Sebastian Cardoch, Uppsala universitet
2022-06-08 – 2023-07-01
Collisionless shocks and discontinuities in electron-ion-positron plasma: Mark Eric Dieckmann, Linköpings universitet
2022-10-01 – 2023-10-01
Collisionless shocks and discontinuities in electron-ion-positron plasma: Mark Eric Dieckmann, Linköpings universitet
2022-10-01 – 2023-10-01
Complex magnetism in transition metal oxychlorides: Marcus Ekholm, Linköpings universitet
2022-11-01 – 2023-11-01
Computation screening towards high performance organic/organic-inorganic hybrid scintillators: Xinyi Cai, Linköpings universitet
2022-09-06 – 2023-09-01
Computational Materials Science for Energy Conversion, Storage and Applications: Hybrid Perovskites, Battery Materials and Two-dimensional (2D) materials for Water splitting & Sensors: Rajeev Ahuja, Uppsala universitet
2022-07-01 – 2023-07-01
Computational Modeling of Superconductivity and Out-of-Equilibrium Dynamics: Peter Oppeneer, Uppsala universitet
2022-08-01 – 2023-07-01
Computational Modeling of Superconductivity and Out-of-Equilibrium Dynamics: Peter Oppeneer, Uppsala universitet
2022-07-01 – 2023-07-01
Computational Modelling of Organic Materials and Devices (Dardel): Igor Zozoulenko, Linköpings universitet
2023-03-28 – 2024-01-01
Computational Synthetic Growth and Properties of Nanostructured Materials: Gueorgui Gueorguiev, Linköpings universitet
2023-04-01 – 2024-04-01
Computational Synthetic Growth and design of nanostructured and 2D materials: Gueorgui Gueorguiev, Linköpings universitet
2023-04-01 – 2024-04-01
Computational methods and data analysis for optical DNA mappings: Tobias Ambjörnsson, Lunds universitet
2022-08-30 – 2023-09-01
Computational studies of thin metal film growth on weakly-interacting 2D substrates: Konstantinos Sarakinos, Kungliga Tekniska högskolan
2022-10-25 – 2023-11-01
Computer experiment in condensed matter physics: Anatoly Belonoshko, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Computer experiment in condensed matter physics: Anatoly Belonoshko, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Constraining Dark Matter with Cosmic-Ray and Gamma-Ray Observations: Tim Linden, Stockholms universitet
2023-01-01 – 2024-01-01
Core-level spectroscopy from first principles calculations: Weine Olovsson, Linköpings universitet
2022-05-01 – 2023-05-01
Crosstalk and Coherence Analysis for Superconducting Quantum Processors: Sandoko Kosen, Chalmers tekniska högskola
2023-04-01 – 2024-04-01
Crosstalk and Coherence Analysis for Superconducting Quantum Processors: Sandoko Kosen, Chalmers tekniska högskola
2023-03-30 – 2023-10-01
Data-driven materials discovery and computation of nanomagnetic properties from first principles: Anna Delin, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Data-driven materials discovery and computation of nanomagnetic properties from first principles: Anna Delin, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Database for developing, testing, understanding, and launching vdW-DF-method progress: Per Hyldgaard, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Deciphering the initial conditions and formation history of cosmic structure: Jens Jasche, Stockholms universitet
2023-01-01 – 2024-01-01
Driven Correlated Materials and Dynamics of Exotic Ordering: Oscar Grånäs, Uppsala universitet
2022-07-01 – 2023-07-01
Early stages of radiation damage in metallic alloys: Mattias Klintenberg, Uppsala universitet
2023-03-28 – 2024-04-01
Efficient studies of large-scale topological and unconventional superconductors: Annica Black-Schaffer, Uppsala universitet
2022-12-21 – 2023-07-01
Efficient use of high-accuracy general-purpose vdW-DFs: Nonemperical theory for sustainable-energysolutions: Per Hyldgaard, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Electron interaction in graphene ribbons: Sergey Ignatenko, Linköpings universitet
2023-01-04 – 2024-02-01
Electronic Structure Calculations for Energy Materials: Anders Hellman, Chalmers tekniska högskola
2022-05-13 – 2023-05-01
Electronic Structure Calculations for Energy Materials: Anders Hellman, Chalmers tekniska högskola
2022-05-01 – 2023-05-01
Electronic charge density analysis and visualization: Alexei Abrikossov, Linköpings universitet
2023-03-01 – 2024-03-01
Electronic structure and atomistic modelling for materials science: Andreas Larsson, Luleå tekniska universitet
2023-01-01 – 2024-01-01
Electronic structure calculations based on the one particle Green's function and DFT: Thijs Jan Holleboom, Karlstads universitet
2022-09-01 – 2023-09-01
Electronic structure calculations of defects in SiC, III-Nitrides, and 2D wide band gap semiconductors: Son Nguyen, Linköpings universitet
2023-01-01 – 2024-01-01
Electronic structure calculations of defects in SiC, III-Nitrides, and 2D wide band gap semiconductors: Son Nguyen, Linköpings universitet
2023-01-01 – 2024-01-01
Electronic structure theory for materials modeling: Igor Abrikosov, Linköpings universitet
2019-06-25 – 2023-07-01
Electronic theory of materials properties: from fundamental understanding towards materials design: Igor Abrikosov, Linköpings universitet
2022-07-01 – 2023-07-01
Electronic-Structure and Atomic-Scale Computations for the Physics of Materials and Interfaces: Göran Wahnström, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Energy Efficient 2D Tunnel Field-Effect Transistors: Samuel Lara, Chalmers tekniska högskola
2022-12-01 – 2023-12-01
Equivariant attention for thermal transport simulations: Proof of concept: Florian Knoop, Linköpings universitet
2023-02-25 – 2023-09-01
Exciton Coupling of Non fullerene acceptor: Xinyi Cai, Linköpings universitet
2021-08-24 – 2023-09-01
FASTER (Fuel And STructural matERials modelling): Pär Olsson, Kungliga Tekniska högskolan
2022-12-22 – 2024-01-01
FASTER (Fuel And STructural matERials modelling): Pär Olsson, Kungliga Tekniska högskolan
2022-12-21 – 2024-01-01
FEM simulation for quantum experiments with mechanical resonators (compute): Witlef Wieczorek, Chalmers tekniska högskola
2022-06-01 – 2023-06-01
Feasibility study of compuatational software for radiation damage simulations on GPU based machines: Artur Tamm, Uppsala universitet
2023-02-15 – 2024-03-01
Finite element methods for transport in superconductors: Tomas Lofwander, Chalmers tekniska högskola
2023-03-01 – 2024-03-01
Finite element methods for transport in superconductors: Kevin Marc Seja, Chalmers tekniska högskola
2023-01-10 – 2024-02-01
First principles high precision study of point defect clusters in SiC: Son Nguyen, Linköpings universitet
2021-12-01 – 2023-12-01
First principles high precision study of point defect clusters in SiC: Son Nguyen, Linköpings universitet
2021-12-01 – 2023-12-01
HIBEAM-NNBAR Cluster: Bernhard Meirose, Lunds universitet
2023-03-01 – 2024-03-01
High ionic conductivity in new glassy material for the next generation solid state Li-ion batteries: Raquel Lizarraga, Kungliga Tekniska högskolan
2023-01-26 – 2024-02-01
High-intensity-laser driven ion acceleration with ultra-thin targets: Shikha Bhadoria, Göteborgs universitet
2023-01-05 – 2024-02-01
High-temperature thermodynamics of complex systems from first principles: Andrei Ruban, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
High-temperature thermodynamics of complex systems from first principles: Andrei Ruban, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
High-throughput search for permanent magnets among magnetic alloys: Alena Vishina, Uppsala universitet
2022-06-27 – 2023-07-01
How badly do we understand star formation?: Florent Renaud, Lunds universitet
2023-02-01 – 2024-02-01
Hydrogen Traps in defective M7C3 structures: Christina Bjerkén, Malmö universitet
2022-11-01 – 2023-11-01
Hydrogen-induced embrittlement of group IVB transition metals: Jakob Blomqvist, Malmö universitet
2022-06-27 – 2023-07-01
Influence of stress on transport properties of thermoelectric materials: Denis Music, Malmö universitet
2022-10-01 – 2023-10-01
Interfacial properties of high-technology materials from first principles: Levente Vitos, Kungliga Tekniska högskolan
2023-01-26 – 2024-02-01
Interfacial properties of high-technology materials from first principles (accompanying SNIC 2022/5-647): Levente Vitos, Kungliga Tekniska högskolan
2023-01-27 – 2024-02-01
Interplay between spin and lattice degree-of-freedom in ultrafast dynamics: Danny Thonig, Örebro universitet
2022-11-01 – 2023-11-01
Kinetic Simulations of Space Plasmas: Shahab Fatemi, Umeå universitet
2023-04-01 – 2023-10-01
Large-scale defect characterization and design for quantum technologies: Rickard Armiento, Linköpings universitet
2023-01-01 – 2024-01-01
Large-scale numerical optimization of bosonic quantum information processing: Patric Holmvall, Uppsala universitet
2022-10-18 – 2023-05-01
ML-based diagnostics of laser-matter interactions: Arkady Gonoskov, Göteborgs universitet
2023-02-23 – 2024-03-01
Machine learning-driven material discovery, from algorithm to novel material.: QiChen Xu, Kungliga Tekniska högskolan
2023-01-02 – 2023-08-01
Many-body Localization and Local information: Jens Bardarson, Kungliga Tekniska högskolan
2022-12-01 – 2023-12-01
Massive Star Birth from Cloud Collisions: Jonathan Tan, Chalmers tekniska högskola
2022-08-30 – 2023-09-01
Materials science through electronic structure and atomistic modelling: Andreas Larsson, Luleå tekniska universitet
2023-01-01 – 2024-01-01
Mathematical Physics--Quantum droplet simulations: Koushik Mukherjee, Lunds universitet
2023-03-30 – 2024-04-01
Mechanical, fracture and termodynamic modelling of reactor materials: Pär Olsson, Malmö universitet
2022-11-01 – 2023-11-01
Mechanical, fracture and termodynamic modelling of reactor materials: Pär Olsson, Malmö universitet
2022-11-01 – 2023-11-01
Modeling Cosmic-Ray Astrophysics: Tim Linden, Stockholms universitet
2023-01-01 – 2024-01-01
Modeling and simulating the properties of 2D layered materials for potential applications in the field of energy storage, nano-electronics and bio-sensor devices: Deobrat Singh, Uppsala universitet
2023-01-01 – 2024-01-01
Modelling of complex materials: Natalia Skorodumova, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Modelling of complex materials: Natalia Skorodumova, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Modelling star formation and feedback in local galaxies: Angela Adamo, Stockholms universitet
2022-10-25 – 2023-11-01
Molecular dynamics simulations of mass transport and phase transitions in ceramic and intermetallic systems: Ivan Petrov, Linköpings universitet
2022-05-31 – 2023-06-01
Molecular dynamics simulations of mass transport and phase transitions in ceramic and intermetallic systems: Ivan Petrov, Linköpings universitet
2022-05-30 – 2023-06-01
Multiscale Modelling and Simulation of Organic Photovoltaic Materials: Carlos Moyses Graca Araujo, Karlstads universitet
2022-07-01 – 2023-07-01
Multiscale simulation of high-temperature thermodynamic and mechanical properties of materials: Ferenc Tasnádi, Linköpings universitet
2022-06-27 – 2023-07-01
N2, H2O, CO2 catalysis on surfaces: Davide Sangiovanni, Linköpings universitet
2022-10-25 – 2023-11-01
Novel computational approaches for superconducting materials and modelling of superconducting qubits: Egor Babaev, Kungliga Tekniska högskolan
2023-01-22 – 2024-02-01
Novel computational approaches for superconducting materials and modelling of superconducting qubits: Egor Babaev, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Novel two dimensional topological materials: Biplab Sanyal, Uppsala universitet
2023-01-25 – 2024-01-01
Novel two dimensional topological materials: Biplab Sanyal, Uppsala universitet
2023-01-01 – 2024-01-01
Numerical modelling of metallic melt damage in contemporary tokamaks and future fusion reactors: Panagiotis Tolias, Kungliga Tekniska högskolan
2022-06-01 – 2023-06-01
Numerical modelling of metallic melt damage in contemporary tokamaks and future fusion reactors: Panagiotis Tolias, Kungliga Tekniska högskolan
2022-05-31 – 2023-06-01
Numerical theory for novel high-temperature superconducting models and devices: Adrian Kantian, Uppsala universitet
2022-07-01 – 2023-07-01
Optical crystals: Aylin Ahadi, Lunds universitet
2022-12-21 – 2024-01-01
Pair distribution functions in amorphous Fe-Ni-Al-Zr alloys: Gabriella Andersson, Uppsala universitet
2023-02-23 – 2024-03-01
Planetesimal formation by collisions of inertial particles with irregular solid bodies: John Wettlaufer, Stockholms universitet
2022-10-25 – 2023-11-01
Planetesimal formation by collisions of inertial particles with irregular solid bodies: John Wettlaufer, Stockholms universitet
2022-10-25 – 2023-11-01
QUNOMES: QUantum NanOstructured Materials for Energy Scavenging and Storage: Applica-tion of Two-Dimensional Materials in Next-Generation Batteries, Biosensing, and Healthcare: Rajeev Ahuja, Uppsala universitet
2022-07-01 – 2023-07-01
Screening for novel materials using machine learning: Rickard Armiento, Linköpings universitet
2023-03-03 – 2023-10-01
Screw dislocation interaction with magnetic solutes in bcc iron in the paramagnetic state: Luis Alberto Casillas Trujillo, Linköpings universitet
2020-07-07 – 2023-08-01
Search for Solar reflected dark matter: Jan Conrad, Stockholms universitet
2023-02-28 – 2024-03-01
Simulations of superconducting nanostructures: Jack Lidmar, Kungliga Tekniska högskolan
2022-11-29 – 2023-12-01
Spectroscopy of Quasiparticles in Scanning Transmission Electron Microscopy: Jan Rusz, Uppsala universitet
2023-01-01 – 2024-01-01
Spectroscopy of Quasiparticles in Scanning Transmission Electron Microscopy: Jan Rusz, Uppsala universitet
2023-01-01 – 2024-01-01
Spin and Lattice Dynamics in Complex Materials: Corina Etz, Luleå tekniska universitet
2022-11-29 – 2023-12-01
Storage for SNIC Large Compute 2022 - Advanced materials simulations, from quantum physics to green technology: Olle Eriksson, Uppsala universitet
2022-07-01 – 2023-07-01
Storage for the Thin Film Physics projects: Lars Hultman, Linköpings universitet
2022-07-01 – 2023-07-01
Storage for theoretical physics environment at LiU: Rickard Armiento, Linköpings universitet
2023-03-07 – 2024-04-01
Strong electronic correlations and magnetism in systems containing transition metals and lanthanides: Igor Dimarco, Uppsala universitet
2022-12-21 – 2024-01-01
Strong fields and transient dynamics in strongly correlated matter: Oscar Grånäs, Uppsala universitet
2022-07-01 – 2023-07-01
Strong interactions for precision nuclear physics: Andreas Ekström, Chalmers tekniska högskola
2022-09-01 – 2023-09-01
Studies in heterogeneous catalysis and x-ray spectroscopy and properties of water: Lars G.M. Pettersson, Stockholms universitet
2023-01-01 – 2024-01-01
Studies in heterogeneous catalysis and x-ray spectroscopy of water: Lars G.M. Pettersson, Stockholms universitet
2023-01-01 – 2024-01-01
Study of spin-polarization and electronic lenses in semiconductor nanodevices: Iryna Yakymenko, Linköpings universitet
2022-06-01 – 2023-06-01
Sustainable Energy Materials by Design: Carlos Moyses Graca Araujo, Karlstads universitet
2022-08-17 – 2023-07-01
Symmetry breaking computational models in nuclei: Andrea Idini, Lunds universitet
2022-08-30 – 2023-09-01
The effects of feedback on the escape of radiation in star-forming dwarf galaxies: Göran Östlin, Stockholms universitet
2022-10-27 – 2023-11-01
The effects of feedback on the escape of radiation in star-forming dwarf galaxies: Göran Östlin, Stockholms universitet
2022-10-25 – 2023-11-01
The mass assembly of Galactic nuclei: exploring the influence of the supermassive black hole mass growth and the role of star formation: Ross Church, Lunds universitet
2022-09-01 – 2023-09-01
Theoretical characterisation of novel 2D materials: Pernilla Helmer, Linköpings universitet
2023-02-08 – 2024-03-01
Theoretical studies of ultra-fast molecular dynamics and electronic structure in liquids and solar cells.: Michael Odelius, Stockholms universitet
2022-07-01 – 2023-07-01
Theoretical subatomic physics: Christian Forssén, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
Theory of simple and complex materials: Sergei Simak, Linköpings universitet
2022-07-01 – 2023-07-01
Theory of simple and complex materials: Sergei Simak, Linköpings universitet
2022-07-01 – 2023-07-01
Towards improved understanding of High Entropy Alloys for Ammonia Production: Tomas Edvinsson, Uppsala universitet
2022-06-01 – 2023-06-01
Tuning the speed of hydrogen in amorphous materials: Gunnar Pálsson, Uppsala universitet
2022-05-01 – 2023-05-01
Two-dimensional metals on graphene: Ivan Shtepliuk, Linköpings universitet
2022-12-01 – 2023-12-01
VASP workshop at NSC 4-5th Apr 2023: Weine Olovsson, Linköpings universitet
2023-03-01 – 2023-05-01
Wetting properties of rGO/GO and elastocapillary phenomena in 2D materials: Andreas Isacsson, Chalmers tekniska högskola
2023-01-26 – 2024-02-01
dynamic, functional, and complex quantum matter: Matthias Geilhufe, Chalmers tekniska högskola
2022-11-01 – 2023-11-01
topological and thermoelectrical materials: Ali Sufyan, Luleå tekniska universitet
2022-11-15 – 2023-12-01

Chemical Sciences (100)

Active calcium phosphate cements: Baltzar Stevensson, Stockholms universitet
2023-02-08 – 2024-03-01
Aggregation of an amphiphilic compound in water: Satyajit Das, Kungliga Tekniska högskolan
2022-12-01 – 2023-12-01
Allocation for theoretical chemistry research at LiU: Bo Durbeej, Linköpings universitet
2022-05-01 – 2023-05-01
Atomistic Design of Catalytic Materials: Henrik Grönbeck, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Atomistic simulations of polymer electrolytes for Li-ion battery applications: Marcelo Albuquerque, Uppsala universitet
2023-02-25 – 2024-03-01
BIG-MAP: Patrik Johansson, Chalmers tekniska högskola
2023-02-01 – 2024-02-01
BIG-MAP: Patrik Johansson, Chalmers tekniska högskola
2023-02-01 – 2024-02-01
Calculation on the reaction pathway selectivity in water splitting: Joydeep Dutta, Kungliga Tekniska högskolan
2023-03-27 – 2024-04-01
Carbohydrate Dynamics: Kevin Dorst, Stockholms universitet
2022-04-26 – 2023-05-01
Carbon Dioxide Reduction into Methanol Catalyzed by Cu/ZrO2 systems: An Experimental and Theoretical Study: Giane Damas, Linköpings universitet
2022-11-01 – 2023-11-01
Chemistry and Catalysis on surfaces and nanoparticles, functionalized 2D-materials and single atom catalysts: Tore Brinck, Kungliga Tekniska högskolan
2022-05-01 – 2023-05-01
Computational Chemistry and Biology: David Van Der Spoel, Uppsala universitet
2023-01-01 – 2024-01-01
Computational Chemistry and Biology: David Van Der Spoel, Uppsala universitet
2023-01-01 – 2024-01-01
Computational Modelling of Novel Materials and Devices for Organic- and Bioelectronics and Energy Storage: Igor Zozoulenko, Linköpings universitet
2023-01-01 – 2024-01-01
Computational Quantum Chemistry Applied to Excited State (Anti)Aromaticity and Photoreactivity: Nathalie Proos Vedin, Uppsala universitet
2022-06-07 – 2023-07-01
Computational Spectroscopy of Molecular Materials: Glib Baryshnikov, Linköpings universitet
2023-03-01 – 2024-03-01
Computational Spectroscopy of Molecular Materials: Glib Baryshnikov, Linköpings universitet
2023-03-01 – 2024-03-01
Computational condensed-matter chemistry: Nanoparticles, molecules and interfaces between them: Kersti Hermansson, Uppsala universitet
2022-07-08 – 2023-08-01
Computational condensed-matter chemistry: Nanoparticles, molecules and interfaces between them: Kersti Hermansson, Uppsala universitet
2022-07-01 – 2023-07-01
Computational screening of novel catalysts for oxidation and nitrogen reduction reactions: Jonas Björk, Linköpings universitet
2021-08-06 – 2023-09-01
Computational studies of metalloproteins, crystallography and ligand binding: Ulf Ryde, Lunds universitet
2023-01-01 – 2024-01-01
Computational studies of metalloproteins, crystallography and ligand binding: Ulf Ryde, Lunds universitet
2023-01-01 – 2024-01-01
Computational study of organic compounds in ground and excited states: Rabia Ayub, RISE Research Institute of Sweden
2022-10-01 – 2023-10-01
Computational-chemistry studies of CVD processes, heterogeneous catalysis, and hydrogen bonding: Lars Ojamäe, Linköpings universitet
2022-07-01 – 2023-07-01
Computational-chemistry studies of CVD processes, heterogeneous catalysis, and hydrogen bonding: Lars Ojamäe, Linköpings universitet
2019-06-01 – 2023-06-01
DFT calculation of small molecules for the lundberg lab: Guillermo Ahumada, Kungliga Tekniska högskolan
2023-03-28 – 2024-04-01
DFT for intermolecular force in chitosan-based coating: Chenxi Li, Kungliga Tekniska högskolan
2023-01-18 – 2024-02-01
Deciphering light-induced processes in molecular systems: Nanna Holmgaard List, Kungliga Tekniska högskolan
2022-11-28 – 2023-08-01
Deciphering light-induced processes in molecular systems: Nanna Holmgaard List, Kungliga Tekniska högskolan
2022-11-26 – 2023-08-01
Design of molecular photoswitches for storage of solar energy: Bo Durbeej, Linköpings universitet
2022-04-01 – 2024-04-01
Design principles for efficient metal-oxo catalysts revealed by x-rays: Marcus Lundberg, Uppsala universitet
2023-01-01 – 2024-01-01
Design principles for efficient metal-oxo catalysts revealed by x-rays: Marcus Lundberg, Uppsala universitet
2022-12-21 – 2024-01-01
Development and application of new nonadiabatic dynamics methods to investigate photoinduced molecular processes: Rafael Carvalho Couto, Kungliga Tekniska högskolan
2022-11-09 – 2023-12-01
Development and applications of multiconfigurational methods for spectroscopy of transition metal catalysts: Mickaël Delcey, Kungliga Tekniska högskolan
2023-02-01 – 2024-02-01
Development of electrolyte descriptors for predicting cycling performance of electrochemical cells: Giovanni Volpe, Göteborgs universitet
2023-03-20 – 2024-04-01
Dewatering of nanofibrillated cellulose using electro assisted filtration: Merima Hasani, Chalmers tekniska högskola
2022-08-05 – 2023-09-01
Electronic and atomic structure of surface oxides: Nils Mårtensson, Uppsala universitet
2023-03-27 – 2024-04-01
Electronic and geometric structure of man-made and biological water oxidation catalysts: Johannes Messinger, Uppsala universitet
2022-12-20 – 2024-01-01
Electronic structure and photovoltaics: Kerstin Andersson, Karlstads universitet
2022-11-01 – 2023-11-01
Electronic structure modelling of ionic transport: Valera Veryazov, Lunds universitet
2023-04-01 – 2024-04-01
Electronic structure, method development and applications: Ignacio Fernández Galván, Uppsala universitet
2022-12-02 – 2023-12-01
Elucidating the effect of solvent friction on the excited-state reaction dynamics of light-responsive molecular switches: Bo Durbeej, Linköpings universitet
2022-12-01 – 2023-12-01
Elucidating the effect of solvent friction on the excited-state reaction dynamics of light-responsive molecular switches: Bo Durbeej, Linköpings universitet
2022-12-01 – 2023-12-01
Exact Correction for one-centered two-electron integrals in the Cholesky decomposition based integral evaluations: Danjo De Chavez, Uppsala universitet
2023-02-08 – 2024-03-01
Excited States Simulation of Organic Solar Cell Materials: Bei Yang, Linköpings universitet
2021-08-25 – 2023-09-01
Extra storage for computing project 2022/5-161: Tore Brinck, Kungliga Tekniska högskolan
2022-05-10 – 2023-05-01
Functional Materials Prediction with Implications for the Origin of Life and Planetary Science: Martin Rahm, Chalmers tekniska högskola
2022-12-21 – 2024-01-01
Generic storage allocation for theoretical chemistry research at LiU: Bo Durbeej, Linköpings universitet
2020-04-20 – 2024-04-01
Homogenous Catalysis: Xiaoyu Chen, Kungliga Tekniska högskolan
2023-01-23 – 2023-05-01
In Silico Drug Development: Leif Eriksson, Göteborgs universitet
2023-01-01 – 2024-01-01
In Silico Drug Development: Leif Eriksson, Göteborgs universitet
2023-01-01 – 2024-01-01
Investigation of the aromatic character in 4n pi organic molecules: Péter József Mayer, Uppsala universitet
2023-03-08 – 2024-04-01
Investigations of potential energy surfaces and reaction mechanisms in organic chemistry, radical chemistry , and material chemistry: Peter Dinér, Kungliga Tekniska högskolan
2022-05-30 – 2023-06-01
Large Scale Simulations in Biomolecular and Nanomaterial Science: Alexander Lyubartsev, Stockholms universitet
2022-07-01 – 2023-07-01
Large scale simulations in biomolecular and materials science: Alexander Lyubartsev, Stockholms universitet
2022-07-01 – 2023-07-01
Large-scale bio and materials modelling across spatial and temporal scales: Aatto Laaksonen, Stockholms universitet
2023-01-17 – 2024-01-01
Large-scale bio and materials modelling across spatial and temporal scales: Aatto Laaksonen, Stockholms universitet
2023-01-01 – 2024-01-01
Learning design principles for photoinduced molecular processes from ML-enhanced quantum dynamics simulations: Nanna Holmgaard List, Kungliga Tekniska högskolan
2023-02-15 – 2023-09-01
Ligand centric approach towards self assembly of biomimetic water oxidation catalysts: Michael Cheah, Uppsala universitet
2022-07-01 – 2023-07-01
Light–Matter Interactions in Complex Molecular Systems: Patrick Norman, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Material and Reactivity Predictions under Extreme Conditions: Martin Rahm, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Mechanistic investigations using VBX reagents: Ester Maria Di Tommaso, Stockholms universitet
2022-06-01 – 2023-06-01
Mechanistic studies of transition metal catalysts: Pher Andersson, Stockholms universitet
2022-05-31 – 2023-06-01
Mekanismundersökning av järnoxider och oxihydroxider för vattenoxidation: Yuanju Qu, Linköpings universitet
2022-11-01 – 2023-11-01
Modeling of Enzymatic and Homogeneous Catalysis: Fahmi Himo, Stockholms universitet
2022-12-01 – 2023-12-01
Moleadapt: A recommender system for molecular property adaptation: Michael Welle, Kungliga Tekniska högskolan
2023-02-08 – 2024-03-01
Molecular dynamics simulation on the behavior of the interface of perovskite/silicon tandem solar cells: Lanlan He, Kungliga Tekniska högskolan
2022-05-30 – 2023-06-01
Morphology and electro-optical properties of materials in solar cell: Mathieu Linares, Linköpings universitet
2023-02-23 – 2024-03-01
Morphology and electro-optical properties of materials in solar cell: Mathieu Linares, Linköpings universitet
2023-02-23 – 2024-03-01
Multiscale Modelling of Electrolyte Materials for Energy Storage and Harvesting: Jiayin Yuan, Stockholms universitet
2022-10-01 – 2023-10-01
Novel polymer electrolytes for Li-batteries: bulk transport and interface properties: Daniel Brandell, Uppsala universitet
2023-01-26 – 2024-02-01
On-surface synthesis of organic nanostructures: Jonas Björk, Linköpings universitet
2023-01-27 – 2024-02-01
Photoinduced Dynamics Simulations of Small Organic Molecules: Pratip Chakraborty, Kungliga Tekniska högskolan
2022-08-16 – 2023-09-01
Probing the Microstructure of Battery Electrolytes: Daniel Sethio, Uppsala universitet
2022-10-10 – 2023-11-01
Project Storage for Light–Matter Interactions in Complex Molecular Systems: Patrick Norman, Kungliga Tekniska högskolan
2022-07-07 – 2023-08-01
Quantum Chemistry Calculations of Molecular Systems: Yaoquan Tu, Kungliga Tekniska högskolan
2023-03-01 – 2024-01-01
Quantum chemical investigation of excited molecules used on producing renewable fuels: Leandro Cid Gomes, Uppsala universitet
2022-12-21 – 2024-01-01
Quantum chemical investigation of excited state aromaticity and antiaromaticity effects in organic molecules: Henrik Ottosson, Uppsala universitet
2022-08-01 – 2023-08-01
Quantum chemical studies of biochemical reaction mechanisms: Margareta Blomberg, Stockholms universitet
2023-01-09 – 2024-02-01
Quantum chemical studies of biochemical reaction mechanisms: Per Siegbahn, Stockholms universitet
2022-10-03 – 2023-11-01
Rational and data-driven computational research on modern molecular materials: Hans Ågren, Uppsala universitet
2023-01-01 – 2024-01-01
Rational and data-driven computational research on modern molecular materials: Hans Ågren, Uppsala universitet
2023-01-01 – 2024-01-01
Reconstructing Lactate Biosensor Parameters for Sweat Analysis through Inverse Modelling: Ivan Robayo, Kungliga Tekniska högskolan
2023-03-20 – 2023-07-01
Restrict active space calculations of core level spectroscopy of transition metal complexes: Meiyuan Guo, Lunds universitet
2022-10-01 – 2023-10-01
Restrict active space calculations of core level spectroscopy of transition metal complexes: Meiyuan Guo, Lunds universitet
2022-10-01 – 2023-10-01
Screening of how aromatic substitutions and cycling ion affects the electrochemistry of quinones and catechols: Martin Sjödin, Uppsala universitet
2022-12-21 – 2024-01-01
Small molecule activation by transition metals in complex environments.: Mårten Ahlquist, Kungliga Tekniska högskolan
2023-01-27 – 2024-02-01
Small molecule activation by transition metals in complex environments.: Mårten Ahlquist, Kungliga Tekniska högskolan
2023-01-27 – 2024-02-01
Solar Energy Conversion and Catalysis Calculations: Petter Persson, Lunds universitet
2022-05-01 – 2023-05-01
Solar Energy Conversion and Catalysis Calculations - Storage: Petter Persson, Lunds universitet
2022-05-01 – 2023-05-01
Storage for compute project SNIC 2022/1-14: Michael Odelius, Stockholms universitet
2022-07-01 – 2023-07-01
Structure Refinements of Pharmaceupticals by New NMR Crystallography Methods: Mattias Edén, Stockholms universitet
2022-04-28 – 2023-05-01
Structure and morphology of conductive and biopolymers: Igor Zozoulenko, Linköpings universitet
2022-07-01 – 2023-07-01
Substituent effects in the excited state (anti)aromaticity of aromatic carbocycles: Stefano Crespi, Uppsala universitet
2022-05-12 – 2023-06-01
The halogen bonding of halonium ions: Mate Erdelyi, Uppsala universitet
2022-10-01 – 2023-10-01
Theoretical study of XRay spectroscopic signatures and energetics of photo-dissociation and photo-initiated C-H activation by transition metal carbonyls.: Ambar Banerjee, Uppsala universitet
2023-01-05 – 2024-02-01
To Study CO2 capture by designing novel porous materials that can lower the energy use for the capture related processes and the environmental risks: Umer Younis, Stockholms universitet
2023-02-20 – 2024-03-01
Understanding the identity of the active catalysts in water splitting and carbon dioxide reduction: Biswanath Das, Stockholms universitet
2022-10-14 – 2023-11-01
Uppsala Computational Biochemistry Initiative: Lynn Kamerlin, Uppsala universitet
2023-01-01 – 2024-01-01
Uppsala Computational Biochemistry Initiative: Lynn Kamerlin, Uppsala universitet
2023-01-01 – 2024-01-01

Earth and Related Environmental Sciences (48)

AISS-mélange. Antarctic ice sheet stability: ocean-ice-mélange model to reduce uncertainties: Lars Arneborg, SMHI
2022-11-01 – 2023-11-01
Air-sea Interactions controlling European Atmospheric Rivers and wet and windy extremes: Ferran López, Uppsala universitet
2023-02-08 – 2024-03-01
Air-sea-ice interactions during the development of Polar lows: Lichuan Wu, Uppsala universitet
2022-07-10 – 2023-07-01
Air-sea-ice interactions during the development of Polar lows: Lichuan Wu, Uppsala universitet
2022-07-01 – 2023-07-01
Assessment of AWS Constellation on potential Nowcasting impact at high latitudes: Bengt Rydberg, SMHI
2022-10-31 – 2023-05-01
Atmospheric Greenhouse Gas inverse modelling: Guillaume Monteil, Lunds universitet
2022-12-21 – 2024-01-01
Atmospheric transport modelling: Peter Jansson, Totalförsvarets forskningsinstitut
2022-12-01 – 2023-12-01
CESM climate model shared data storage: Hamish Struthers, Linköpings universitet
2023-02-01 – 2024-02-01
Climate Modelling at the Bolin Centre for Climate Research: Qiong Zhang, Stockholms universitet
2022-07-01 – 2023-07-01
Climate model data storage at the Bolin Centre for Climate Research: Qiong Zhang, Stockholms universitet
2022-07-01 – 2023-07-01
Computational Studies of Mineral Surface Reactivity: Jean-François Boily, Umeå universitet
2023-02-14 – 2023-10-01
Computational Studies of Mineral Surface Reactivity: Jean-François Boily, Umeå universitet
2022-10-01 – 2023-10-01
Convective permitted modeling to reveal the impact of changes in lakes and wetlands on extreme precipitation over the Third Pole Region: Tinghai Ou, Göteborgs universitet
2022-08-01 – 2023-08-01
Convective permitted modeling to reveal the impact of changes in lakes and wetlands on extreme precipitation over the Third Pole Region: Tinghai Ou, Göteborgs universitet
2022-08-01 – 2023-08-01
Cyclone Tracking and Climate Simulations: Jakob Beran, Stockholms universitet
2022-08-22 – 2023-06-01
Cyclone Tracking and Climate Simulations: Jakob Beran, Stockholms universitet
2022-05-17 – 2023-06-01
EC-Earth climate model shared data storage: Hamish Struthers, Linköpings universitet
2023-02-01 – 2024-02-01
EC-Earth3 and EC-Earth4 development and tuning: Paul Miller, Lunds universitet
2022-08-15 – 2023-07-01
ESM aerosol Lund: Moa Sporre, Lunds universitet
2022-11-01 – 2023-11-01
ESM aerosol Lund: Moa Sporre, Lunds universitet
2022-11-01 – 2023-11-01
Earths global climate system: Thorsten Mauritsen, Stockholms universitet
2022-12-01 – 2023-05-01
Ecosystem modelling of the Baltic Sea: Bo Gustafsson, Stockholms universitet
2023-01-26 – 2024-02-01
GREENHOUSE GAS FLUXES AND EARTH SYSTEM FEEDBACKS (GreenFeedBack): Minchao Wu, Uppsala universitet
2023-01-26 – 2023-12-01
GREENHOUSE GAS FLUXES AND EARTH SYSTEM FEEDBACKS (GreenFeedBack): Minchao Wu, Uppsala universitet
2023-01-26 – 2023-12-01
High resolution climate modelling with a focus on convection and associated precipitation over the Third Pole region: Deliang Chen, Göteborgs universitet
2022-07-01 – 2023-07-01
High resolution climate modelling with a focus on convection and associated precipitation over the Third Pole region: Deliang Chen, Göteborgs universitet
2022-07-01 – 2023-07-01
Investigating Geographical Intersection of Multiple Catchments at the Global Scale: Mohanna Zarei, Stockholms universitet
2023-02-13 – 2024-03-01
LPJ-GUESS Peatland: Nitin Chaudhary, Lunds universitet
2023-01-26 – 2024-02-01
Land Use, Carbon Sinks and Negative Emissions for Climate targets, LUCSNE4C: Wenxin Zhang, Lunds universitet
2022-08-01 – 2023-07-01
ML-Down: Kristofer Krus, SMHI
2023-01-01 – 2023-07-01
Modelling air quality at preschools - influence of vegetation, building morphology and traffic emissions: Malin Gustafsson, IVL Swedish Environmental Research Institute
2022-10-05 – 2023-07-01
Modelling air quality at preschools - influence of vegetation, building morphology and traffic emissions: Malin Gustafsson, IVL Swedish Environmental Research Institute
2022-06-27 – 2023-07-01
Modelling of Arctic clouds: Luisa Ickes, Chalmers tekniska högskola
2022-11-01 – 2023-11-01
Modelling of Arctic clouds: Luisa Ickes, Chalmers tekniska högskola
2022-11-01 – 2023-11-01
Modelling seasonal vegetation feedback with Earth system models: Minchao Wu, Lunds universitet
2022-11-29 – 2023-12-01
Modelling seasonal vegetation feedback with Earth system models: Minchao Wu, Lunds universitet
2022-11-28 – 2023-12-01
Ocean Dynamics on HPC: Göran Broström, Göteborgs universitet
2023-01-26 – 2024-02-01
Ocean dynamics on HPC - storage: Göran Broström, Göteborgs universitet
2023-01-27 – 2024-02-01
Reining in the upper bound of Earths climate sensitivity (highECS): Thorsten Mauritsen, Stockholms universitet
2022-07-01 – 2023-07-01
S-CMIP: Swedish climate modelling and contributions to international projects: Erik Kjellström, SMHI
2022-07-01 – 2023-07-01
Simulations with earth system model EC-Earth: Qiong Zhang, Stockholms universitet
2023-03-28 – 2024-04-01
Simulations with earth system model EC-Earth: Qiong Zhang, Stockholms universitet
2022-07-01 – 2023-07-01
Simultaneous atmospheric inverse modeling of CO2 and 14CO2: Carlos Gomez, Lunds universitet
2022-05-06 – 2023-06-01
The impacts of large-scale solar farms on global climate and terrestrial ecosystems: Zhengyao Lu, Lunds universitet
2022-07-07 – 2023-07-01
Towards improved marine environmental and climate information for the Baltic Sea, North Sea and Arctic Ocean: Per Pemberton, SMHI
2023-01-01 – 2023-07-01
Visualising and modelling urban air quality - influence of vegetation, building morphology and traffic emissions: Fredrik Lindberg, Göteborgs universitet
2023-03-01 – 2024-03-01
Visualising and modelling urban air quality - influence of vegetation, building morphology and traffic emissions: Fredrik Lindberg, Göteborgs universitet
2023-03-01 – 2024-03-01
storage for "Atmospheric Greenhouse Gas inverse modelling" project: Guillaume Monteil, Lunds universitet
2022-12-21 – 2024-01-01

Biological Sciences (67)

3D Helical Reconstruction of Amyloid Fibrils formed by the human Islet Amyloid Polypeptide and its mutants: Michal Maj, Uppsala universitet
2023-03-22 – 2023-10-01
AI-assisted plankton monitoring: Anders Andersson, Kungliga Tekniska högskolan
2023-03-08 – 2023-10-01
AlphaFold2 modelling for structural data: Leonardo Monrroy, Uppsala universitet
2023-03-30 – 2023-10-01
Amyloid β 42 mutant fibrils: Sara Linse, Lunds universitet
2022-05-31 – 2023-06-01
Amyloid β 42 mutant fibrils: Sara Linse, Lunds universitet
2022-05-30 – 2023-06-01
Bayesian analysis of phylogeny and macroevolution: Fredrik Ronquist, Naturhistoriska riksmuseet
2023-03-28 – 2023-10-01
Bayesian analysis of phylogeny and macroevolution: Fredrik Ronquist, Naturhistoriska riksmuseet
2023-03-27 – 2023-10-01
Biodiversity ecosystem functioning in food webs: Tomas Jonsson, Högskolan i Skövde
2022-12-02 – 2023-12-01
Bioinformatic processing of Capture-Seq data for the Stoebe clade of paper daisies (Asteraceae: Gnaphalieae).: Bengt Oxelman, Göteborgs universitet
2022-09-02 – 2023-10-01
Biophysics of Cellular Transport: Björn CG Karlsson, Linnéuniversitetet
2023-01-01 – 2024-01-01
Computational studies of GPCRs and viral enzymes: Jens Carlsson, Uppsala universitet
2023-01-01 – 2024-01-01
Computational studies of GPCRs and viral enzymes: Jens Carlsson, Uppsala universitet
2023-01-01 – 2024-01-01
Computational studies of LasR: Elena Vikström, Linköpings universitet
2022-12-27 – 2023-12-01
Computational studies of LasR: Elena Vikström, Linköpings universitet
2022-11-29 – 2023-12-01
Computational studies of the mechanism of DNA strand-exchange reaction: Bengt Nordén, Chalmers tekniska högskola
2022-12-20 – 2024-01-01
Conformational sampling and docking with AlphaFold: Björn Wallner, Linköpings universitet
2022-11-01 – 2023-05-01
Controlling Saprolegnia Infections For A Sustainable Aquaculture: Vaibhav Srivastava, Kungliga Tekniska högskolan
2023-01-27 – 2024-02-01
Cryo-EM studies of the Phosphatidylinositol-4-Phosphate 5-Kinase Type 1 Alpha: Michael Hall, Umeå universitet
2023-02-15 – 2023-09-01
CryoEM processing with Presto programs: Ingemar André, Lunds universitet
2023-02-08 – 2023-05-01
Decision support for biodiversity management in landscapes: Annie Jonsson, Högskolan i Skövde
2023-03-01 – 2024-03-01
Deep learning for morphological cell profiling: Ola Spjuth, Uppsala universitet
2023-03-31 – 2023-10-01
Design and Prediction of Protein–Protein Interaction: Sinisa Bjelic, Linnéuniversitetet
2022-09-01 – 2023-09-01
Design and Prediction of Protein–Protein Interaction: Sinisa Bjelic, Linnéuniversitetet
2022-09-01 – 2023-09-01
Differences in functional groups in regional and subregional food webs: Mikael Ohlsson, Linköpings universitet
2018-10-10 – 2023-11-01
Digital Twin: Tilda Herrgårdh, Linköpings universitet
2019-05-16 – 2023-06-01
Effects of herbivory severity on long-term forest carbon cycling: Daniel Metcalfe, Umeå universitet
2022-10-11 – 2023-11-01
ElfLab MD store: Malin Lüking, Uppsala universitet
2022-07-07 – 2023-08-01
EnvGen_compute: Anders Andersson, Kungliga Tekniska högskolan
2023-03-28 – 2024-04-01
Exploring the likelihood surface and confidence regions in some phylogenetic Gaussian processes: Hao Chi Kiang, Linköpings universitet
2023-01-12 – 2024-02-01
Feather aerodynamics: Christoffer Johansson, Lunds universitet
2022-11-01 – 2023-11-01
Fold and dock proteins using reinforcement learning: Björn Wallner, Linköpings universitet
2022-10-12 – 2023-11-01
Food web and ecosystem services of the Baltic Sea: György Barabas, Linköpings universitet
2018-11-15 – 2023-12-01
Hit-based drug discovery on VEGFR-2 inhibitors: Federico Riu, Uppsala universitet
2022-06-07 – 2023-07-01
Improving flexible structure fitting into cryo-EM maps using multiple conformers generated by AlphaFold 2: Erik Lindahl, Kungliga Tekniska högskolan
2022-11-01 – 2023-05-01
Lipid Modulation of Kv7 Voltage Gated Ion Channels: Sara Liin, Linköpings universitet
2022-12-22 – 2024-01-01
LivEpiMod: Tom Lindström, Linköpings universitet
2023-03-01 – 2024-03-01
MD Simulation Studies of Lytic Polysaccharide Monooxygenase Enzymes of pathogenic microorganisms: Rajender Kumar, Kungliga Tekniska högskolan
2023-01-09 – 2024-02-01
Mathematical modeling of the cardiovascular system and whole-body metabolism: Kajsa Tunedal, Linköpings universitet
2020-05-11 – 2023-06-01
Mathematical modeling whole body energy homeostatis: Oscar Arrestam, Linköpings universitet
2022-09-26 – 2023-10-01
Metabolic Flux Modelling with 13C tracers with applications for human cerebral metabolism: Nicolas Sundqvist, Linköpings universitet
2019-05-09 – 2023-06-01
Modeling of adipocyte signaling: William Lövfors, Linköpings universitet
2018-11-06 – 2023-12-01
Modelling isoforms and conformations of Kv7 channels through AlphaFold: Sara Liin, Linköpings universitet
2023-03-31 – 2023-10-01
Multiscale Simulations of disease-related biomolecular systems: Laura Orellana, Karolinska Institutet
2023-02-01 – 2023-10-01
Multiscale Simulations on Biological Energy Catalysis: Ville Kaila, Stockholms universitet
2022-07-01 – 2023-07-01
Multiscale Simulations on Biological Energy Catalysis: Ville Kaila, Stockholms universitet
2022-07-01 – 2023-07-01
Multiscale simulations for the drug design: Jan Swenson, Chalmers tekniska högskola
2022-11-01 – 2023-11-01
NMR structure determination picornavirus proteins: Alexandra Ahlner, Linköpings universitet
2022-09-19 – 2023-10-01
Optimizing species tree estimation in the presence of ILS and migration using DENIM with simulated sequences: Bengt Oxelman, Göteborgs universitet
2022-09-15 – 2023-06-01
Optimizing species tree estimation in the presence of ILS and migration using DENIM with simulated sequences: Bengt Oxelman, Göteborgs universitet
2022-06-01 – 2023-06-01
Protein structure prediction and AI in virtual screening: Jens Carlsson, Uppsala universitet
2022-12-15 – 2023-07-01
Protein-carbohydrate interactions in amorphous solid state: Vitaly Kocherbitov, Malmö universitet
2023-03-28 – 2024-04-01
RNA Dynamics using NMR spectroscopy and molecular dynamics simulations: Rubin Dasgupta, Karolinska Institutet
2023-02-08 – 2024-03-01
Simulations of electrosprayed proteins with FMM-enhanced GROMACS: Louise Persson, Uppsala universitet
2023-02-08 – 2024-03-01
Species delimitation and phylogenetics in SIleneae (Caryophyllaceae): Bengt Oxelman, Göteborgs universitet
2022-09-19 – 2023-10-01
Species delimitation for southern African Silene (Caryophyllaceae): Ntwai Moiloa, Göteborgs universitet
2022-08-15 – 2023-09-01
Storage for PReSTO pilot SNIC 2022/5-414: Martin Moche, Karolinska Institutet
2023-01-01 – 2024-01-01
Structural analysis of Photosystem II by cryo-EM: Wolfgang Schröder, Umeå universitet
2022-11-08 – 2023-06-01
Structural biology of ribosomes: Magdalena Riad, Karolinska Institutet
2022-04-26 – 2023-05-01
Structural dynamics of ribosomes: Katja Petzold, Karolinska Institutet
2022-05-23 – 2023-05-01
Structure-Function studies of Photosystem II: Johannes Messinger, Uppsala universitet
2023-02-25 – 2023-09-01
Study of Drosophila melanogaster circadian clock regulation: Jennifer Mutisya, Uppsala universitet
2022-11-03 – 2023-06-01
Studying the evolution of byproduct cross-feeding in digital organisms: György Barabas, Linköpings universitet
2022-06-01 – 2023-06-01
Transcriptional control downstream of Wnt signalling: Claudio Cantù, Linköpings universitet
2020-09-04 – 2023-10-01
Transcriptional control downstream of Wnt signalling: Claudio Cantù, Linköpings universitet
2019-09-02 – 2023-10-01
WildMan: Tom Lindström, Linköpings universitet
2022-10-01 – 2023-10-01
WildMan Storage: Tom Lindström, Linköpings universitet
2022-10-01 – 2023-10-01
structural investigations of pathogenic antibodies in experimental rheumatoid arthritis: Changrong Ge, Karolinska Institutet
2023-01-01 – 2024-01-01

Other Natural Sciences (4)

A transferable Boltzmann Generator for small molcules conformations: Juan Viguera Diez, Chalmers tekniska högskola
2023-04-01 – 2023-10-01
Active HBM 2022-23: Johan Davidsson, Chalmers tekniska högskola
2022-11-01 – 2023-11-01
Active HBM 2022-23: Johan Davidsson, Chalmers tekniska högskola
2022-11-01 – 2023-11-01
LPJ-GUESS Peatland: Nitin Chaudhary, Lunds universitet
2023-01-26 – 2024-02-01

Civil Engineering (2)

Explosion loads in densified urban environments: Mario Plos, Chalmers tekniska högskola
2022-10-25 – 2023-11-01
Optimization of Stockholm TMA + Unmanned Aerial Vehicles Traffic Management: Tatiana Polishchuk, Linköpings universitet
2023-02-01 – 2024-02-01

Electrical Engineering, Electronic Engineering, Information Engineering (22)

A study of photochemical properties of methacrylic acid, and maleic acid grafted on polyamide using first principles density functional theory calculations: Jerker Delsing, Luleå tekniska universitet
2023-03-01 – 2024-03-01
Cloud robotics for large-scale manipulation: Shutong Jin, Kungliga Tekniska högskolan
2023-03-08 – 2023-10-01
Complexity certification of active-set QP algorithms: Daniel Arnström, Linköpings universitet
2021-04-28 – 2023-05-01
Computer Architecture Simulation: Per Stenström, Chalmers tekniska högskola
2022-11-26 – 2023-12-01
Deep Reinforcement Learning for Decentralized Control of Distribution Power System: Mengfan Zhang, Kungliga Tekniska högskolan
2022-12-21 – 2024-01-01
Designing algorithm for resource management in cell-free massive MIMO networks: Thanh Tung Vu, Linköpings universitet
2022-10-05 – 2023-11-01
Facial detection and recognition resilient to physical image deformations: Fernando Alonso-Fernandez, Högskolan i Halmstad
2022-11-29 – 2023-12-01
Facial detection and recognition resilient to physical image deformations: Fernando Alonso-Fernandez, Högskolan i Halmstad
2022-11-29 – 2023-12-01
Image enhancement and classification: Josef Bigun, Högskolan i Halmstad
2023-03-22 – 2024-04-01
Investigation of antenna effects on human body: Maria De Lauretis, Högskolan i Halmstad
2023-01-27 – 2024-02-01
Optimization algorithm design for high-throughput wireless system: Martin Andersson, Linköpings universitet
2022-10-18 – 2023-11-01
PROSENSE project: Yi Yang, Kungliga Tekniska högskolan
2022-12-01 – 2023-06-01
Radio Based Positioning w/ LTE: Russell Whiton, Lunds universitet
2023-01-01 – 2024-01-01
Real-time classification of attended source with EEG and EarEEG brain-computer interface: Emina Alickovic, Linköpings universitet
2020-02-05 – 2023-11-01
Real-time classification of attended source with EEG and EarEEG brain-computer interface: Emina Alickovic, Linköpings universitet
2018-11-01 – 2023-11-01
Research in retrieval augmented language modeling: Tobias Norlund, Chalmers tekniska högskola
2023-04-01 – 2023-10-01
Semi-supervised Learning for Medical Image Analysis: Roman Naeem, Chalmers tekniska högskola
2022-10-28 – 2023-05-01
Smart surveillance system using edge-devices for wildlife preservation in animal sanctuaries: Magnus Malmström, Linköpings universitet
2023-02-01 – 2023-08-01
SyTeC Testing of Cyber-physical software: Knut Åkesson, Chalmers tekniska högskola
2023-02-08 – 2024-03-01
User Policy Optimization for Ultra-Reliable Low-Latency Communications: Jianan Bai, Linköpings universitet
2023-01-01 – 2024-01-01
Vehicle Behavior Prediction Using Deep Learning: Erik Frisk, Linköpings universitet
2023-04-01 – 2023-10-01
neker: Magnus Sethson, Linköpings universitet
2019-06-07 – 2023-07-01

Mechanical Engineering (51)

"Takeover" from project SNIC 2020/1-10: Stefan Ivanell, Uppsala universitet
2022-07-01 – 2023-07-01
Aerodynamics Study of Vertical Axis Wind Turbines using the Actuator Line Approach: Hans Bernhoff, Uppsala universitet
2022-11-28 – 2023-12-01
Aerodynamics and thermal management of road vehicles: Simone Sebben, Chalmers tekniska högskola
2023-01-02 – 2024-01-01
Aerodynamics and thermal management of road vehicles: Simone Sebben, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Aircraft aerodynamics and propulsion system installation: Huadong Yao, Chalmers tekniska högskola
2023-04-01 – 2023-07-01
CFD simulation of metal fusion in welding and additive manufacturing with electric arc and laser: Isabelle Choquet, Högskolan Väst
2023-01-01 – 2024-01-01
CFD simulation of metal fusion in welding and additive manufacturing with electric arc and laser: Isabelle Choquet, Högskolan Väst
2023-01-01 – 2024-01-01
Computational Aerodynamics Projekt Course: Roland Gårdhagen, Linköpings universitet
2022-11-03 – 2023-06-01
Computational Biofluid , Aero and Thermal Dynamics: Tino Ebbers, Linköpings universitet
2023-01-01 – 2024-01-01
Computational Biofluid , Aero and Thermal Dynamics: Tino Ebbers, Linköpings universitet
2023-01-01 – 2024-01-01
Computational Biofluid , Aero and Thermal Dynamics: Matts Karlsson, Linköpings universitet
2019-06-01 – 2023-06-01
Computational Biofluid , Aero and Thermal Dynamics - Storage: Matts Karlsson, Linköpings universitet
2020-08-28 – 2023-06-01
DEEPSEP - Deep reinforcement learning for active flow control in turbulent boundary layers: Ricardo Vinuesa, Kungliga Tekniska högskolan
2023-02-08 – 2023-09-01
DES for simulating flow and tonal noise in centrifugal fans: Alf-Erik Almstedt, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Detailed simulations of environmental fluid dynamics: Gaetano Sardina, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
Detailed simulations of environmental fluid dynamics: Gaetano Sardina, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
High Fidelity Numerical Simulation of Flow, Heat-Transfer and Combustion in Energy Related Fluid Mechanics: Christer Fureby, Lunds universitet
2023-01-01 – 2024-01-01
High Fidelity Numerical Simulation of Flow, Heat-Transfer and Combustion in Energy Related Fluid Mechanics: Christer Fureby, Lunds universitet
2023-01-01 – 2024-01-01
Improving Aerodynamic Efficiency of a Formula Student car: Hampus Gavel, Linköpings universitet
2022-10-11 – 2023-11-01
Influence of Wind-Wave Interaction on the Blockage Effect for Offshore Wind Farms: Hamidreza Abedi, Research Institutes of Sweden (RISE)
2022-11-15 – 2023-12-01
LES and DES for complex geometries: Lars Davidson, Chalmers tekniska högskola
2023-02-23 – 2024-03-01
LES and DES for complex geometries: Lars Davidson, Chalmers tekniska högskola
2023-03-03 – 2024-03-01
Large Eddy Simulation (LES) of SEFACE and CTF for Flow Accelerated Corrosion and Erosion Study in Liquid Lead: Pavel Kudinov, Kungliga Tekniska högskolan
2022-10-25 – 2023-11-01
Large scale numerical simulation of flow and combustion in internal combustion engines: Xue-Song Bai, Lunds universitet
2022-07-01 – 2023-07-01
Large scale numerical simulation of flow and combustion in internal combustion engines: Xue-Song Bai, Lunds universitet
2022-07-01 – 2023-07-01
Large-scale Simulations in Complex Flows: Luca Brandt, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Large-scale Simulations in Complex Flows: Luca Brandt, Kungliga Tekniska högskolan
2022-07-01 – 2023-07-01
Large-scale Simulations in Stability, Transition, Turbulence and Control: Philipp Schlatter, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Large-scale Simulations in Stability, Transition, Turbulence and Control: Philipp Schlatter, Kungliga Tekniska högskolan
2023-01-01 – 2024-01-01
Mechanical properties of slow light materials: Aylin Ahadi, Lunds universitet
2023-02-01 – 2024-02-01
Modelling of ILs and DESs in gas absorption and electrochemical application: Xiaoyan Ji, Luleå tekniska universitet
2022-08-01 – 2023-08-01
Multidisciplinary simulation of flows, acoustics, structures and coupled FSI using CFD, FEA and LBM: Huadong Yao, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
Multiphysics topology optimization: Carl-Johan Thore, Linköpings universitet
2023-04-01 – 2024-04-01
Numerical simulations for vehicle aerodynamics: Sinisa Krajnovic, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
Numerical simulations for vehicle aerodynamics: Sinisa Krajnovic, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
Optimal design of gasturbine parts: Carl-Johan Thore, Linköpings universitet
2022-11-01 – 2023-11-01
Optimization of transient operation of hydraulic machines and active flow control using machine learning: Håkan Nilsson, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Optimization of transient operation of hydraulic machines and active flow control using machine learning: Håkan Nilsson, Chalmers tekniska högskola
2023-01-01 – 2024-01-01
Reactive particulate flows: Henrik Ström, Chalmers tekniska högskola
2023-04-01 – 2024-04-01
Scale resolved flow simulations in ship hydrodynamics: Rickard Bensow, Chalmers tekniska högskola
2023-02-23 – 2024-03-01
Scale resolved flow simulations in ship hydrodynamics: Rickard Bensow, Chalmers tekniska högskola
2023-02-23 – 2024-03-01
Simulating the lubrication behavior of glycerol - A green lubricant: Roland Larsson, Luleå tekniska universitet
2023-01-01 – 2024-01-01
Simulations of hydrokinetic turbines for marine current applications: Anders Goude, Uppsala universitet
2022-10-03 – 2023-10-01
Simulations of hydrokinetic turbines for marine current applications: Anders Goude, Uppsala universitet
2022-10-01 – 2023-10-01
Storage for multidisciplinary simulation of flows, acoustics, structures and coupled FSI: Huadong Yao, Chalmers tekniska högskola
2022-07-01 – 2023-07-01
Topology Optimization of gas turbine guide vanes: Jonas Lundgren, Linköpings universitet
2022-10-03 – 2023-11-01
Wake Flow Simulation of Vertical Axis Wind Turbines Under the Influence of the Atmospheric Boundary Layer in Complex Terrains using the Actuator Line Approach: Hans Bernhoff, Uppsala universitet
2022-11-26 – 2023-12-01
Wave emergence in turbulent Taylor–Couette flow with free-surface: Cristobal Arratia, NORDITA
2022-05-31 – 2023-06-01
Wave emergence in turbulent Taylor–Couette flow with free-surface: Cristobal Arratia, NORDITA
2022-05-30 – 2023-06-01
Wind Turbine and Wind Farm Wakes: Stefan Ivanell, Uppsala universitet
2022-07-01 – 2023-07-01
eFan - a key enabler for eMobility: Niklas Andersson, Chalmers tekniska högskola
2022-04-28 – 2023-05-01

Chemical Engineering (1)

MD-simulations of thermoplastic lignocellulose and other biopolymers: Fritjof Nilsson, Kungliga Tekniska högskolan
2023-01-29 – 2024-02-01

Materials Engineering (5)

Ab initio crystal structure search and modeling of new High Entropy Ceramics: Farid Akhtar, Luleå tekniska universitet
2022-05-01 – 2023-05-01
Continuation of DFT simulations of surface reactivity phenomena in magnesium: Dmytro Orlov, Lunds universitet
2022-09-01 – 2023-09-01
Integrated Computational Engineering of High-performance Materials: Pavel Korzhavyi, Kungliga Tekniska högskolan
2023-03-28 – 2024-04-01
Integrated Computational Engineering of High-performance Materials (2 storage): Pavel Korzhavyi, Kungliga Tekniska högskolan
2023-03-28 – 2024-04-01
Mechanical properties of interfacial nanolayer materials: Per Eklund, Linköpings universitet
2023-02-01 – 2024-02-01

Medical Engineering (11)

Anatomical Brain template creation for analysis of DBS treatement.: Teresa Nordin, Linköpings universitet
2021-03-26 – 2023-07-01
Anatomical Brain template creation for analysis of DBS treatement.: Teresa Nordin, Linköpings universitet
2020-12-01 – 2023-07-01
Generative deep learning for data-centric medical imaging: Gabriel Eilertsen, Linköpings universitet
2022-10-31 – 2023-05-01
HUDI: Huge Complex Diagnostic Imaging Data: Jonas Lantz, Linköpings universitet
2023-03-29 – 2023-10-01
Massive Voxel-Based Morphometry of UK Biobank Data: Paul Hamilton, Linköpings universitet
2021-06-01 – 2023-06-01
Massive Voxel-Based Morphometry of UK Biobank Data: Paul Hamilton, Linköpings universitet
2021-05-30 – 2023-06-01
MultiPRESS: Deep learning for super-resolution 4D Flow MRI: David Marlevi, Karolinska Institutet
2023-03-31 – 2023-10-01
Neuromorphometric signatures of diseases affecting the brain: Rolf A Heckemann, Göteborgs universitet
2023-02-01 – 2024-02-01
Neuromorphometric signatures of diseases affecting the brain: Rolf A Heckemann, Göteborgs universitet
2023-02-01 – 2024-02-01
PROBE: Gustav Magnusson, Linköpings universitet
2022-03-23 – 2024-04-01
Using federated learning and synthetic images to facilitate training of deep networks for medical images: Anders Eklund, Linköpings universitet
2023-04-01 – 2023-10-01

Environmental Engineering (5)

CFD simulations on floating offshore wind turbines: Malin Göteman, Uppsala universitet
2023-01-27 – 2023-08-01
Marine Renewable Energy: Claes Eskilsson, RISE - Research Institutes of Sweden
2022-10-01 – 2023-10-01
Marine Renewable Energy - Storage: Claes Eskilsson, RISE - Research Institutes of Sweden
2022-10-01 – 2023-10-01
Nonlinear wave-structure interaction: Malin Göteman, Uppsala universitet
2022-12-01 – 2023-12-01
Nonlinear wave-structure interaction: Malin Göteman, Uppsala universitet
2022-12-01 – 2023-12-01

Nano-technology (2)

Fatigue of nanobeams: Solveig Melin, Lunds universitet
2023-04-01 – 2024-04-01
In-silico Design of Disordered Nanomaterials for Electrocatalysis: Eduardo Gracia, Umeå universitet
2023-03-01 – 2024-03-01

Basic Medicine (17)

Accelerating understanding of the conformational preference of proteolysis targeting chimeras (PROTACs): Vasanthanathan Poongavanam, Uppsala universitet
2023-03-28 – 2024-04-01
Computational discovery of lead compounds as potential therapeutics/diagnostics for Alzheimer Disease: Rajnish Kumar, Karolinska Institutet
2022-05-02 – 2023-06-01
DNA methylation changes in cells and tissues during disease: Maria Lerm, Linköpings universitet
2022-12-01 – 2023-12-01
Deep learning analysis of anatomical brain connectivity in Alzheimer's disease and Ageing: Blanca Zufiria, Karolinska Institutet
2023-03-08 – 2023-10-01
Developing small molecules for targeted cancer therapy: Preeti Jha, Uppsala universitet
2023-03-10 – 2024-04-01
Dynamic functional connectivity, neurodevelopment: Granit Kastrati, Stockholms universitet
2023-03-09 – 2024-04-01
Epigenetic changes in the immune system during exposure to mycobacteria: Maria Lerm, Linköpings universitet
2022-12-01 – 2023-12-01
High throughout prediction of toxin-antitoxin protein interfaces with AlphaFold2: Gemma Atkinson, Lunds universitet
2022-12-01 – 2023-06-01
Machine learning models for predicting permeability of macrocycles: Saw Simeon, Uppsala universitet
2023-03-06 – 2024-04-01
Mapping Fcuntional Brain Connectivity Alterations in Alzhiemier's Disease with Machine Learning: Jiawei Sun, Karolinska Institutet
2023-03-03 – 2023-10-01
Molecular modelling & dynamics studies of Class F GPCRs: Magdalena Scharf, Karolinska Institutet
2022-05-24 – 2023-06-01
Molecular modelling studies on Frizzled receptors: Gunnar Schulte, Karolinska Institutet
2022-11-01 – 2023-11-01
Neuroimage analysis for Alzheimer's disease using deep learning: Hang Zhao, Göteborgs universitet
2023-03-02 – 2023-10-01
Predicting Alzheimer’s disease tau pathology using clinically accessible tools: Jacob Vogel, Lunds universitet
2023-02-15 – 2024-03-01
Preliminary Exploration of Antimicrobial Peptide Simulations: Sanjiv Kumar, Örebro universitet
2022-09-02 – 2023-10-01
Simulation of tumor microenvironment development: Petter Säterskog, Karolinska Institutet
2022-09-01 – 2023-09-01
Structural investigations of glycosaminoglycan biosynthetic enzymes: Emil Tykesson, Lunds universitet
2022-12-01 – 2023-06-01

Clinical Medicine (4)

Artificial Intelligence for Prostate Cancer Diagnosis and Prognostication: Martin Eklund, Karolinska Institutet
2022-12-01 – 2023-06-01
Data science applications in external beam radiotherapy: Roumiana Chakarova, Göteborgs universitet
2023-01-01 – 2024-01-01
Deep learning for prostate cancer: Eduard Chelebian Kocharyan, Uppsala universitet
2022-10-14 – 2023-05-01
Monte Carlo applications in external radiotherapy: Roumiana Chakarova, Göteborgs universitet
2023-01-01 – 2024-01-01

Medical Biotechnology (1)

LiU_Head: Srdan Prodanovic, Linköpings universitet
2022-05-02 – 2023-06-01

Agricultural Biotechnology (1)

Deep learning models for modelling genetic variation: Carl Nettelblad, Uppsala universitet
2023-03-01 – 2023-09-01

Economics and Business (7)

Generalized arbitrage conditions for factor pricing models: Iñaki Rodríguez Longarela, Stockholms universitet
2022-12-21 – 2024-01-01
Leave-two-out cross fitting bias corrected test for cross-section dependence: Simon Reese, Lunds universitet
2022-11-11 – 2023-12-01
Macroeconomic and heterogenous agents: Kieran Larkin, Stockholms universitet
2022-09-02 – 2023-10-01
Mixed frequency models for financial and economic data: Hoang Nguyen, Örebro universitet
2023-01-13 – 2024-02-01
Shaping inequality: Thomas Fischer, Lunds universitet
2023-04-01 – 2023-10-01
Skill Loss, Job Mismatch and Slow Recoveries from Large Recessions: Karl Walentin, Uppsala universitet
2022-06-01 – 2023-06-01
Targeting impact versus deprivation: Johannes Haushofer, Stockholms universitet
2022-06-01 – 2023-06-01

Sociology (5)

Dynamiska effekter i historisk textdata: Elis Carlberg Larsson, Linköpings universitet
2022-11-07 – 2023-06-01
Language dynamics of immigration discourse and it's consequences: Miriam Hurtado Bodell, Linköpings universitet
2023-04-01 – 2024-04-01
Sexual discourse in Swedish newspapers, 1900-2020: Måns Magnusson, Linköpings universitet
2022-06-27 – 2023-07-01
The Swedish immigration discourse in traditional media and social media: Marc Keuschnigg, Linköpings universitet
2022-12-20 – 2024-01-01
The puzzles of smoking inequalities and social network dynamics among adolescents: Károly Takács, Linköpings universitet
2022-07-28 – 2023-08-01

Political Science (2)

Varieties of Democracy (V-Dem): Staffan Lindberg, Göteborgs universitet
2022-11-01 – 2023-11-01
Varities of Democracy (V-Dem): Staffan Lindberg, Göteborgs universitet
2022-11-01 – 2023-11-01

Languages and Literature (1)

Retracing Connections - Compute @ LitTerra: Sasha Rudan Kelbert, Uppsala universitet
2022-06-14 – 2023-06-01

National Supercomputer Centre at Linköping University