PredictiveIntelligenceLab / MultiscalePINNs
☆134Updated 2 years ago
Alternatives and similar repositories for MultiscalePINNs:
Users that are interested in MultiscalePINNs are comparing it to the libraries listed below
- ☆200Updated 3 years ago
- ☆161Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆71Updated 2 years ago
- ☆92Updated 3 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆147Updated 5 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆134Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆220Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆77Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆190Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆134Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆132Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆88Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆77Updated last year
- ☆53Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆52Updated last week
- ☆124Updated 6 months ago
- DeepONet & FNO (with practical extensions)☆286Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆139Updated 4 years ago
- ☆334Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆140Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- ☆54Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆57Updated 3 years ago
- ☆107Updated 2 months ago
- Basic implementation of physics-informed neural network with pytorch.☆66Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago