Invited Talk (Gábor Csányi)
2024
in
Workshop: AI for Science: Scaling in AI for Scientific Discovery
in
Workshop: AI for Science: Scaling in AI for Scientific Discovery
Abstract
Prof. Gábor Csányi is a professor of Molecular Modelling at the University of Cambridge. He has made significant contributions in atomistic simulation, particularly in multiscale modelling that couples quantum mechanics to larger length scales. He is a pioneer of applying machine learning and other data intensive techniques to materials modelling problems, such as deriving force fields (interatomic potentials) from ab initio electronic structure data. He is also interested in statistical problems in molecular dynamics, e.g. in enhanced sampling algorithms for materials and molecules.
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