Original implementation of fast PINN optimization with RBA weights
☆70Sep 11, 2025Updated 5 months ago
Alternatives and similar repositories for rba-pinns
Users that are interested in rba-pinns are comparing it to the libraries listed below
Sorting:
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 4 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆280Oct 12, 2021Updated 4 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆17Dec 6, 2024Updated last year
- ☆207Feb 16, 2024Updated 2 years ago
- FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries☆47Feb 2, 2025Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆100Oct 24, 2022Updated 3 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆58May 16, 2024Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆77Feb 1, 2023Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- ☆169Jun 27, 2022Updated 3 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Jul 26, 2024Updated last year
- Physics-informed neural networks (PINNs)☆14Jun 7, 2022Updated 3 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆154Nov 21, 2021Updated 4 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- ☆13Jan 23, 2024Updated 2 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Jan 15, 2024Updated 2 years ago
- ☆391Dec 3, 2022Updated 3 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- ☆31Oct 6, 2022Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆527Nov 27, 2025Updated 3 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28May 8, 2023Updated 2 years ago
- ☆244Oct 14, 2021Updated 4 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆21Nov 29, 2024Updated last year
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆21Nov 15, 2023Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆33Aug 2, 2022Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆167Jul 19, 2023Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆207Feb 21, 2023Updated 3 years ago
- ☆33Jan 10, 2025Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆53Sep 30, 2021Updated 4 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Oct 25, 2022Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Feb 4, 2022Updated 4 years ago