1.2k citations · 1.3k across the 3 of their papers we have counts for
3 papers
physics.comp-ph2020★ 1.2k cited
NSFnets (Navier-Stokes Flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
Xiaowei Jin, Shengze Cai, Hui Li +1
We employ physics-informed neural networks (PINNs) to simulate the incompressible flows ranging from laminar to turbulent flows. We perform PINN simulations by considering two diff…
nlin.PS2018★ 5 cited
Discovering time-varying aeroelastic models of a long-span suspension bridge from field measurements by sparse identification of nonlinear dynamical systems
Shanwu Li, Eurika Kaiser, Shujin Laima +3
We develop data-driven dynamical models of the nonlinear aeroelastic effects on a long-span suspension bridge from sparse, noisy sensor measurements which monitor the bridge. Using…
cs.LG2018★ 40 cited
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning
Shiyin Wei, Xiaowei Jin, Hui Li
A universal rule-based self-learning approach using deep reinforcement learning (DRL) is proposed for the first time to solve nonlinear ordinary differential equations and partial…