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Wonseok Jeong (IntlAssoc)
Wonseok Jeong joined the Data and AI-Driven Materials Science Group as a PREP postdoc in December 2024. His research focuses on computational materials science and engineering, with expertise in atomistic simulations utilizing density functional theory (DFT), molecular dynamics, machine-learning force fields, and AI-driven materials modeling and prediction. He has extensive experience in diverse fields, including semiconductor device processes, battery interfaces, hydrogen storage materials, and simulations of X-ray absorption spectroscopy. His research interests include model and code development, large-scale atomistic simulations, and advanced sampling methods.