Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
MC 5501
Peter Yichen Chen, Massachusetts Institute of Technology
Neural PDE: Towards AI-enhanced Physics Simulation
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.
Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.