VVeida / RK4_PINNLinks
☆14Updated 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:
- Research/development of physics-informed neural networks for dynamic systems☆32Updated last year
- ☆91Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- ☆131Updated 3 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Physics-informed neural networks package☆338Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆41Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆82Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆166Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆68Updated 4 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Updated last month
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆53Updated 2 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Updated 9 months ago
- ☆26Updated 3 years ago
- ☆21Updated 2 years ago
- Paper List of Physics-Informed Neural Network (PINN)☆51Updated last week
- A toolbox for Sequential Bayesian Inference in uncertain nonlinear dynamic systems.☆15Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆94Updated 3 years ago
- Sonkyo blade benchmark☆18Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆263Updated 4 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Multi-fidelity regression with neural networks☆16Updated 2 months ago
- ☆68Updated 3 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆116Updated 3 years ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆32Updated 2 years ago