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  • 1月16日 Han Wan:Deep Learning for Multiscale Molecular Modelling


    Han Wang is an Associate Professor at the Institute of Applied Physics and Computational Mathematics. He received his Ph.D. degree in computational mathematics from Peking University in 2011. He worked as a Postdoctoral Researcher at the Free University of Berlin from 2011 to 2014, and then joined the IAPCM. His research interest is multi-scale modelling and simulation in molecular systems, with a special focus on deep learning methods for developing force fields and for enhanced sampling in materials and biological sciences. As the first or the corresponding author, he has published more than 30 research articles in SCI-indexed journals including Physical Review Letters, Physical Review X, and Journal of Chemical Theory and Computation.