Results 281 to 290 of about 29,946 (302)

Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

Computer Methods in Applied Mechanics and Engineering, 2022
Lu Lu, George Em Karniadakis
exaly  

Physics informed neural networks for continuum micromechanics

Computer Methods in Applied Mechanics and Engineering, 2022
Alexander Henkes, Henning Wessels, Rolf Mahnken   +2 more
exaly  

Physics-informed neural networks for the shallow-water equations on the sphere

Journal of Computational Physics, 2022
Alexander Bihlo, Roman O Popovych
exaly  

Self-adaptive physics-informed neural networks

Journal of Computational Physics, 2023
Ulisses M Braga-Neto
exaly  

Self-adaptive loss balanced Physics-informed neural networks

Neurocomputing, 2022
Wen Yao
exaly  

Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems

Computer Methods in Applied Mechanics and Engineering, 2022
Kevin Linka, Zongren Zou, George Em Karniadakis   +2 more
exaly  

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

Journal of Computational Physics, 2020
Ameya D Jagtap, Kenji Kawaguchi, George Em Karniadakis   +2 more
exaly  

Physics-informed recurrent neural networks and hyper-parameter optimization for dynamic process systems

Computers and Chemical Engineering, 2023
Erdal Aydin
exaly  

PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain

Journal of Computational Physics, 2021
Han Gao, Luning Sun, Jian-Xun Wang
exaly  

Physics informed neural networks for control oriented thermal modeling of buildings

Applied Energy, 2022
Gargya Gokhale, Bert Claessens, Chris Develder   +2 more
exaly