PDEs of incompressible fluid flows, computer assisted proofs and neural networks

Event Overview

The aim of the conference is to bring together both experts and young scholars in three areas undergoing rapid progress: PDEs of fluid dynamics, computer assisted proofs and machine learning, to discuss the latest developments and facilitate discussion and collaboration.

Schedule Abstracts

Speakers

• Javi Serrano Gomez  – Brown University                    
• Ching-Yao Lai – Stanford University  
• Yongji Wang – Princeton University
• Jiajie Chen – New York University
• In-jee Jeong – Seoul National University
• Sanchit Chaturvedi – New York University
• Jia Shi – Massachusetts Institute of Technology
• Joonhyun La – Korea Institute for Advanced Study
• Tristan Leger – New York University
• Raj Beekie – Duke University
• Xinyu Zhao – McMaster University
• Sifan Wang – University of Pennsylvania
• Susanna Haziot – Brown University

Organizers

• Tristan Buckmaster
• Javier Serrano Gomez
• Alexandru Ionescu
• Hao Jia
• Ching-Yao Lai

Support

Supported by NSF DMS-2245228 "FRG: Collaborative Research: Singularities in incompressible flows: computer assisted proofs and physics-informed neural networks”