Professor Gabor Csanyi

Professor Gabor Csanyi is a Professor of Molecular Modelling in the Department of Engineering at the University of Cambridge. His research focuses on applied mechanics, materials modelling, and computational mechanics, with an emphasis on molecular dynamics, electronic structure, and multiscale modelling. He explores the integration of machine learning and data-intensive techniques into materials science, particularly in deriving force fields from ab initio data. His work includes statistical problems in molecular dynamics and enhanced sampling algorithms for exploring material configuration spaces. He also leads research on foundation models for atomistic chemistry across the periodic table. Professor Csanyi helps run the Lennard-Jones Centre, which hosts seminars on machine learning applications in physics, chemistry, and materials science.

Gabor Csanyi is a Professor of Molecular Modelling at the University of Cambridge, specializing in molecular dynamics, statistical mechanics, materials modeling, machine learning, and computational chemistry. His research focuses on developing and applying advanced computational methods to model materials and molecules with high accuracy. He has contributed significantly to the field through the creation of machine learning interatomic potentials, such as MACE, which enable efficient and precise simulations of complex systems. His work bridges quantum mechanics and machine learning to address challenges in materials science and chemistry, emphasizing the importance of data-driven approaches in understanding atomic-scale phenomena.