Processing and upscaling enhanced sampling simulations with machine learning
Mark Tuckerman is an Associate Professor of Chemistry and Mathematics at the Department of Chemistry, New York University, USA. He works in the field of theoretical chemistry. His research areas include development of the molecular dynamics methodology, including novel techniques for enhancing conformational sampling and prediction of free energies in biological systems, development of new approaches to electronic structure and ab initio molecular dynamics simulations, enhanced sampling algorithms, crystal structure prediction and statistical mechanics.
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