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SC20 Virtual Platform
General Dynamics 1: Physics Informed Machine Learning: an HPC Perspective
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DescriptionPIML is an emerging and rapidly evolving scientific discipline which applies ML techniques towards solving or improving the solution of ordinary and partial differential equations (ODEs and PDEs). This presentation will provide an overview of PIML techniques including: soft penalty constraints, neural ODEs, universal differential equations (UDE) and PDE super-resolution. We will compare several ML frameworks, applied to PIML, including TensorFlow, PyTorch, Julia and JAX, that make use of HPC systems.
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