Sort by
Refine Your Search
-
closely together with researchers in (data-driven) sciences, industry and society to accelerate data-intensive scientific discovery. eSSENCE is a strategic collaborative research programme in e-science
-
towards a sustainable future. Subject description This project focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs
-
Description How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help
-
How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help
-
to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials