nasa / pigans-material-IDLinks
☆16Updated last year
Alternatives and similar repositories for pigans-material-ID
Users that are interested in pigans-material-ID are comparing it to the libraries listed below
Sorting:
- ☆16Updated 11 months ago
- hPINN: Physics-informed neural networks with hard constraints☆134Updated 3 years ago
- ☆35Updated this week
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆148Updated 5 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- ☆97Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- POD-PINN code and manuscript☆51Updated 7 months ago
- ☆143Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated this week
- ☆212Updated 3 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- ☆41Updated 5 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆151Updated 5 months ago
- Solving PDEs with NNs☆53Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆31Updated last year
- Competitive Physics Informed Networks☆30Updated 9 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Multifidelity DeepONet☆33Updated last year
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago