The following pages link to VarNet (Q1352759):
Displaying 11 items.
- \textit{hp}-VPINNs: variational physics-informed neural networks with domain decomposition (Q2021230) (← links)
- Discretizationnet: a machine-learning based solver for Navier-Stokes equations using finite volume discretization (Q2021855) (← links)
- Physics-informed graph neural Galerkin networks: a unified framework for solving PDE-governed forward and inverse problems (Q2072742) (← links)
- A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables (Q2124009) (← links)
- PhyGeoNet: physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain (Q2128357) (← links)
- On quadrature rules for solving partial differential equations using neural networks (Q2138756) (← links)
- Variational physics informed neural networks: the role of quadratures and test functions (Q2162334) (← links)
- A finite element based deep learning solver for parametric PDEs (Q2670366) (← links)
- VPVnet: A Velocity-Pressure-Vorticity Neural Network Method for the Stokes’ Equations under Reduced Regularity (Q5065192) (← links)
- Wavelet neural networks functional approximation and application (Q5097861) (← links)
- Numerical solution of inverse problems by weak adversarial networks (Q5132263) (← links)
