miladramzy / Vibration-PINNsLinks
This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitation of PINNs in learning highly nonlinear systems with long temporal domains is discussed and the potential solutions are investigated.
☆12Updated 2 years ago
Alternatives and similar repositories for Vibration-PINNs
Users that are interested in Vibration-PINNs are comparing it to the libraries listed below
Sorting:
- Physics-guided Convolutional Neural Network☆67Updated 4 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 6 months ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆85Updated last year
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆23Updated this week
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- ☆29Updated last year
- Physics-informed deep learning for structural dynamics under moving load☆13Updated 8 months ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆38Updated this week
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Complex beam PDEs are solved using physics informed neural networks☆12Updated last year
- ☆19Updated last year
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆106Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- ☆8Updated 6 months ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆18Updated 2 months ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆8Updated 2 years ago
- DeepXDE and PINN☆112Updated 3 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆11Updated 2 months ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆31Updated 2 years ago
- Deep Learning for Structural Health monitoring☆16Updated 8 months ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆11Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago