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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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) 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
Searches related to graph theory
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