Operator learning
Dnr:
NAISS 2024/22-607
Type:
NAISS Small Compute
Principal Investigator:
Carl Lundholm
Affiliation:
Umeå universitet
Start Date:
2024-04-25
End Date:
2025-02-01
Primary Classification:
10105: Computational Mathematics
Webpage:
Allocation
Abstract
The project aims to investigate various aspects of how machine learning can be used to aid in solving nonlinear partial differential equations. The main application being in mechanics where both elasticity and rigid bodies are under consideration.