403 citations · 1.2k across the 7 of their papers we have counts for
Showing physics.comp-phShow all
3 papers · 1 filter
physics.comp-ph2021★ 49 cited
Physics-informed neural networks with hard constraints for inverse design
Lu Lu, Raphael Pestourie, Wenjie Yao +3
Inverse design arises in a variety of areas in engineering such as acoustic, mechanics, thermal/electronic transport, electromagnetism, and optics. Topology optimization is a major…
physics.comp-ph2020★ 217 cited
DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks
Shengze Cai, Zhicheng Wang, Lu Lu +2
Electroconvection is a multiphysics problem involving coupling of the flow field with the electric field as well as the cation and anion concentration fields. For small Debye lengt…
physics.comp-ph2020★ 43 cited
Active- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows
Lifei Zhao, Zhen Li, Zhicheng Wang +3
Active- and transfer-learning are applied to polymer flows for the multiscale discovery of effective constitutive approximations required in viscoelastic flow simulation. The resul…