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
