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☆66Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 2 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☆38Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆152Updated last year
- Physics-informed neural networks package☆319Updated 3 years ago
- ☆130Updated 3 years ago
- Complex beam PDEs are solved using physics informed neural networks☆12Updated last year
- Deep Learning for Structural Health monitoring☆18Updated 11 months ago
- Physics-informed learning of governing equations from scarce data☆149Updated 2 years ago
- DeepXDE and PINN☆124Updated 3 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆61Updated 3 years ago
- ☆147Updated 3 years ago
- This is the code of my master thesis.☆141Updated 4 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆19Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆245Updated 3 years ago
- 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…☆24Updated 2 months ago
- ☆64Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆46Updated 2 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated last month
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆50Updated 2 years ago
- A place to share problems solved with SciANN☆286Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆77Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆80Updated last year
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago