Ali-Stanford / PhysicsInformedPointNetElasticityLinks
Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets of irregular geometries
☆10Updated last year
Alternatives and similar repositories for PhysicsInformedPointNetElasticity
Users that are interested in PhysicsInformedPointNetElasticity are comparing it to the libraries listed below
Sorting:
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Updated 10 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆22Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- ☆11Updated last month
- ☆15Updated last year
- ☆32Updated last month
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆15Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆10Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆12Updated 2 months ago
- ☆29Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆10Updated 9 months ago
- ☆11Updated 8 months ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆27Updated 2 years ago
- ☆14Updated 3 years ago
- Deep finite volume method☆22Updated last year
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- ☆46Updated 5 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆35Updated 5 months ago
- POD-PINN code and manuscript☆53Updated 9 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 4 months ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆29Updated 10 months ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆14Updated 2 months ago
- ☆11Updated 9 months ago