Applied Mathematics Seminar | Peter Yichen Chen, Neural PDE: Towards AI-enhanced Physics Simulation

Thursday, January 25, 2024 2:00 pm - 2:00 pm EST (GMT -05:00)
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MC 5501 
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Peter Yichen Chen, Massachusetts Institute of Technology 

Title

Neural PDE: Towards AI-enhanced Physics Simulation

Abstract

Physics simulation has become the third pillar of science and engineering, along with theory and experiments. The overarching objective of my cross-disciplinary research is to democratize physics simulation. This is achieved through a thoughtful fusion of cutting-edge AI methodologies and classical numerical methods. In this talk, I will introduce two research threads that align with this overarching theme. These threads will harness various machine learning tools (e.g., neural fields) to advance physics simulations’ accuracy and speed. A recurring theme in all two threads is the exceptional generalization capabilities of these ML-enhanced simulations, thanks to the careful incorporation of partial differential equations (PDEs) as an inductive bias.