Quanta article featuring our work by Yongji, Tristan, and Javi, using physics-informed neural networks to shed new light to a century-old mystery- singularity formation for the 3D Euler equations.

Apr 12

Written by Yao Lai

Yongji Wang gave a great invited talk “Physics-informed neural networks for solving 3-D Euler equation” at the Mathematics, Physics & Machine Learning webinar! Check out the recorded simnar here.

Excited for our Princeton Center for Theoretical Science workshop: Physics in the Ground Beneath our Feet- Applications of statistical and nonlinear physics in earth sciences (Jan 5-7, 2022)