Computing non-equilibrium trajectories by a deep learning approach

8 October 2022

Papers citing "Computing non-equilibrium trajectories by a deep learning approach"

3 / 3 papers shown

Title
Scalable Methods for Computing Sharp Extreme Event Probabilities in Infinite-Dimensional Stochastic Systems Timo Schorlepp Shanyin Tong T. Grafke G. Stadler 19 7 0 21 Mar 2023
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Benjamin Moseley Andrew Markham T. Nissen‐Meyer PINN 45 209 0 16 Jul 2021
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains Ziqi Liu Wei Cai Zhi-Qin John Xu AI4CE 206 122 0 22 Jul 2020