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purification of electrode or electrolyte systems and evaluation of their battery performance. The program will have a strong collaborative component with characterization (e.g. electron microscopy
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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of neutron irradiation on the mechanical and thermophysical properties of nuclear ceramics, composites, structural alloys, and related materials. Conduct detailed microstructural and defect characterization
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synthesis and characterization of bulk materials to understand structural, electronic, and magnetic properties. This includes identifying candidate materials and developing ideas for tuning them toward
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
-state physics, ferroelectrics and/or 2D materials. Strong background in developing and/or applying materials simulation methods, such as atomistic simulations using electronic-structure and/or machine
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and