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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
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responsible for development of detectors for measuring beta rays, gamma rays, and neutrons as well as the development of computational codes for analyzing the obtained data. The job description may be changed