PredictiveIntelligenceLab / MultiscalePINNsLinks
☆151Updated 3 years ago
Alternatives and similar repositories for MultiscalePINNs
Users that are interested in MultiscalePINNs are comparing it to the libraries listed below
Sorting:
- ☆224Updated 3 years ago
- ☆177Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆142Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆250Updated 3 years ago
- ☆98Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆89Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆156Updated last year
- ☆364Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆212Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆99Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆328Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆83Updated last month
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- Applications of PINOs☆136Updated 2 years ago
- ☆112Updated 8 months ago
- ☆64Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆152Updated 2 years ago
- ☆158Updated 11 months ago
- hPINN: Physics-informed neural networks with hard constraints☆144Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆60Updated 3 weeks ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- ☆54Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- PINN in solving Navier–Stokes equation☆113Updated 5 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆117Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago