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in condensed matter physics and mathematical physics. In particular, we work on fundamental theory and the exploration of novel physical properties related to topological phases, chiral phonons
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information is processed in the brain and how the brain circuits adapt to the environment. Drawing on analytical techniques from statistical physics and information theory, we probe the key functional
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) calculations, integral equation theories, and so on. By performing all-atom MD simulations with enhanced conformational sampling techniques, we investigate hydration effect on protein folding and denaturation
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency