Lars is completing a PhD in geometric deep learning at the University of Cambridge. His research centres around developing machine-learning force fields (MLFFs) that speed up atom-scale simulations for reliable property prediction of materials and proteins. His current focus on “designing from the atom up” couples generative models with physics-based constraints to propose realistic, testable candidates.
Aron Walsh
Chair in Materials Design, Department of Materials
Aron Walsh leads the Materials Design group at Imperial College London, focused on the design and optimisation of materials using high performance computing. His work combines computational materials chemistry, quantum mechanics, machine learning, and multi scale modeling.
