Yoonsang Lee

A derivative-free framework for capturing macroscopic behavior of incompressible turbulent flows

The derivative-free loss method (DFLM) is a mesh-free neural network approach for solving partial differential equations by simulating stochastic walkers rather than computing derivatives directly. Although DFLM has previously been applied to the Navier--Stokes equations, extending it to turbulent flows reveals two lim...