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Dr. Arvind Mohan is a Postdoctoral researcher in the Center for Nonlinear Studies and the Computational Physics and Methods group at Los Alamos National Laboratory. He obtained his PhD in Aeronautical and Astronautical Engineering from The Ohio State University with research in Computational Fluid Dynamics, data-driven aerodynamics and stall failure for aircraft wings. His current research is focused on embedding domain knowledge and physics for deep learning algorithms in turbulence and fluid mechanics, with high performance computing. His other research efforts are deep learning collaborations at Los Alamos in nuclear physics, earth sciences and astrophysics. Dr. Mohan has also organized two international conferences in machine learning and physics at LANL, with hundreds of attendees from all over the globe.
Data Analytics, Compression, and Management
Performance/Productivity Measurement and Evaluation
Resource Management and Scheduling
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