November 12, 2023, Filed Under: Multiscale Nano Group NewsDeepForce: Linking ab initio to continuum scales using deep-learned forces Congratulations to Haiyi, Chenxing and Jinu! The group’s work on developing a deep learning-based algorithm, called DeepForce, to link ab initio physics with the continuum theory to predict structure of confined water just appeared in the Journal of Chemical Physics.
September 15, 2023, Filed Under: Multiscale Nano Group NewsData-Driven Coarse-Graining of Liquids under Confinement Check out the group’s work on developing a data-driven approach for coarse-graining simple liquids under nanoscale confinement which just appeared in the Journal of Chemical Theory and Computation!
September 1, 2023, Filed Under: Multiscale Nano Group NewsSolid-Fluid coupling-induced force fluctuations! Congratulations to Yechan! His work on solid-fluid coupling showed the presence of fluctuating forces and activation of atomic transport through nanoporous membranes. This work appeared in Applied Physics Letters!
