VVeida / RK4_PINNLinks
☆12Updated last year
Alternatives and similar repositories for RK4_PINN
Users that are interested in RK4_PINN are comparing it to the libraries listed below
Sorting:
- ☆128Updated 2 years ago
- ☆76Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆90Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆25Updated 7 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆73Updated 3 years ago
- Physics-informed neural networks package☆315Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆145Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆37Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆236Updated 3 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆97Updated 4 months ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆44Updated 2 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆152Updated last year
- ☆37Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆82Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆71Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆57Updated 3 months ago
- Basic implementation of physics-informed neural networks for solving differential equations☆90Updated 6 months ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆97Updated 4 months ago
- DeepXDE and PINN☆121Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆35Updated 2 years ago
- ☆145Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆137Updated 3 years ago
- ☆31Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆149Updated 3 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆35Updated 2 years ago