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Hall, David Matthew

Asst Professor Adjoint

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Research

research overview

  • I am interested in the solution of multi-scale computational physics problems on high-performance supercomputers. Applications include global climate models, atmospheric science, rotating fluid systems, astrophysics, and soft condensed matter systems. Methods include Galerkin element methods, immersed boundaries, and deep neural networks.

keywords

  • computational physics, numerical solution of PDEs, machine learning, computational fluid dynamics, spectral element methods, immersed boundaries, global climate models, atmospheric science

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