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Experience in Multiphysics modeling in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications
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Experience in Multiphysics modeling in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications
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Experience in Multiphysics modeling in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications
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contribute to cutting-edge research in electrochemical energy storage and conversion , with a focus on solid-state batteries, interfacial chemistry, electro-chemo-mechanics, and novel energy materials
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coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science
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of Singapore (NUS). The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas
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simulation, computational fluid dynamics (CFD), computational solid mechanics, cyber security, data science, Earth systems, electrical systems, electromagnetics, hyperspectral imaging, machine learning
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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron