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fundamental problems arising in mathematical fluid dynamics and turbulence, including regularity properties of solutions to the Navier-Stokes, Euler, and related equations, dissipation anomaly, Onsager’s
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, interdisciplinary, interactive and dynamic team. We are generously core funded, use the newest state-of-the-art equipment and technologies. Our lab is strongly supported by our in-house core facilities, such as a
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matter properties and the dynamics of compact stars using neutrino, EM and GW signals. Candidates with expertise and interests in neutron-rich nuclei structure, dense matter equations of state, neutrino
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5