Expertise
Computational chemistry, Machine Learning, Nonequilibrium Assembly, Biomimetic Active Matter; Computational Nanoscience
Education
Ph.D., Theoretical Chemistry, University of Paris-SaclayBiosketch
Jerome Delhommelle, Ph.D., did his undergraduate studies at the Ecole Normale Superieure of Paris-Saclay (France) and received a Ph.D. in Theoretical Chemistry at the University of Paris-Saclay. He was 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), DOE (Materials Sciences and Engineering Division), and ACS. Delhommelle co-authored an introductory textbook entitled 鈥淎 Mole of Chemistry鈥� (CRC Press) and a graduate textbook on 鈥淢olecular Networking: Statistical Mechanics in the Age of AI and Machine Learning鈥� (CRC Press).
He serves as the Chair of the Topical Group on Data Science (GDS) of the American Physical Society. Delhommelle is also the North American editor for 鈥淢olecular Simulation.鈥� In this role and in collaboration with Martin Karplus, Ph.D., 2013 Nobel Prize in Chemistry, he developed a series of special issues on 鈥淔ree Energy simulations鈥�. He is the co-author of more than 120 peer-reviewed publications and his work has made the cover of prestigious journals including the Journal of the American Chemical Society and Physical Review Letters.