Autonomous Experimental Platform for Advanced Radiation Detection Materials
Title: Autonomous Experimental Platform for Advanced Radiation Detection Materials
DNr: Berzelius-2026-235
Project Type: LiU Berzelius
Principal Investigator: Feng Gao <feng.gao@liu.se>
Affiliation: Linköpings universitet
Duration: 2026-08-27 – 2027-03-01
Classification: 10403
Homepage: https://kaw.wallenberg.org/en/research/wearable-x-ray-detectors-made-organic-semiconductors
Keywords:

Abstract

The project aims to develop an AI-driven autonomous experimental platform for the discovery, characterization, and optimization of advanced radiation-detection materials, with a focus on molecular glass scintillators. The platform will integrate automated sample preparation, robotic operation, optical and radiation-response measurements, reproducible data processing, and AI-guided decision-making. By linking material preparation, characterization, and analysis in a closed loop, it will enable systematic and continuous materials development while reducing manual work and human involvement in radiation-related experiments. The expected outcome is a reusable autonomous laboratory framework for accelerating the development of new scintillator materials and establishing their composition–structure–property relationships.