Learning Better Simulation Methods for Partial Differential Equations

1 · Google AI Research · July 23, 2019, 5:17 p.m.
Posted by Stephan Hoyer, Software Engineer, Google Research The world’s fastest supercomputers were designed for modeling physical phenomena, yet they still are not fast enough to robustly predict the impacts of climate change, to design controls for airplanes based on airflow or to accurately simulate a fusion reactor. All of these phenomena are modeled by partial differential equations (PDEs), the class of equations that describe everything smooth and continuous in the physical world, and the ...