Computational chemistry, Machine Learning, Nonequilibrium Assembly, Biomimetic Active Matter
EducationPh.D., Theoretical Chemistry, University of Paris-Saclay
Jerome Delhommelle, Ph.D., is a former student of the Ecole Normale Superieure of Paris-Saclay (France) and earned his Ph.D. in Theoretical Chemistry at the University of Paris-Saclay. He has been awarded an NSF CAREER award from the Division of Materials Research and an Outstanding Young Faculty award by the Division of Computers in Chemistry of the American Chemical Society. His research group is currently funded by NSF (Division of Chemistry) and DOE (Materials Sciences and Engineering Division). Delhommelle has co-authored an introductory textbook entitled “A Mole of Chemistry” (CRC Press) and he’s currently working on a graduate textbook: “Molecular Networking: Statistical Mechanics in the Age of AI and Machine Learning”. He was recently elected vice-chair of the Topical Group on Data Science (GDS) of the American Physical Society. He is also the North American editor for “Molecular Simulation.” In collaboration with Martin Karplus, Ph.D., 2013 Nobel Prize in Chemistry, he has developed a series of special issues on “Free Energy simulations” over the past five years.