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ERE Seminar: Jonathan Tompson, Google — Accelerating Eulerian Fluid Simulation With Convolutional Networks

Date and Time: 
February 26, 2018 -
12:30pm to 1:30pm
Location: 
Room 104, Green Earth Sciences Building, 367 Panama Street, Stanford
Contact Email: 
jpcastro@stanford.edu
Contact Phone: 
650.725.9835
Event Sponsor: 
Energy Resources Engineering

Accelerating Eulerian Fluid Simulation With Convolutional Networks

Jonathan Tompson
Senior Research Scientist
Google

Efficient simulation of the Navier-Stokes equations for fluid flow is a long standing problem in applied mathematics, for which state-of-the-art methods require large compute resources. In this work, we propose a data-driven approach that leverages the approximation power of deep-learning with the precision of standard solvers to obtain fast and highly realistic simulations. I will discuss our proposed method in some detail as well as it's limitations and future work.