Title:	Deep Learning Investigation for Turbulent Flows
DNr:	NAISS 2023/22-1326
Project Type:	NAISS Small Compute
Principal Investigator:	Kin Wing Wong <kwwo@kth.se>
Affiliation:	Kungliga Tekniska högskolan
Duration:	2024-01-16 – 2024-10-01
Classification:	20306
Homepage:	https://www.physics.kth.se/ne/sunrise
Keywords:

Abstract

This request for the computing allocation is for a master thesis project that will be commenced in Jan 2024. The work is focused on generation of 3D turbulent flow data with passive scalar based on DNS using foam-extend. The generated data will be tested with the NIF data approximation framework to achieve both dimensionality reduction and the exploration of integrating NIF for super-resoution of turbluent flow data.