34 citations · 51 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 17 cited
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
Nikhil Muralidhar, Jie Bu, Ze Cao +4
Physics-based simulations are often used to model and understand complex physical systems and processes in domains like fluid dynamics. Such simulations, although used frequently,…
math.NA2015★ 34 cited
Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver
Amit Amritkar, Eric de Sturler, Katarzyna Świrydowicz +2
We focus on robust and efficient iterative solvers for the pressure Poisson equation in incompressible Navier-Stokes problems. Preconditioned Krylov subspace methods are popular fo…