freshman-ip / PINNLinks
用于求解薛定谔方程的数值解
☆12Updated last year
Alternatives and similar repositories for PINN
Users that are interested in PINN are comparing it to the libraries listed below
Sorting:
- ☆14Updated last year
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆117Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Updated 3 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 4 years ago
- MATLAB solver for the deformation of an elastic half-space based on the Boundary Element Method (BEM)☆15Updated 2 years ago
- A Flow Field Prediction Program & Multiple Spatio_temporal Attention (MSTA) Network & Multiple Fusion Attention (MFA) & Spatial Transform…☆15Updated 4 months ago
- ☆93Updated 2 years ago
- ☆26Updated 3 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆23Updated 9 months ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆32Updated 2 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Updated 3 years ago
- ☆32Updated 2 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆32Updated last year
- 一个简易的模块化物理信息神经网络实现(PINN)☆50Updated 2 months ago
- Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning☆26Updated 10 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆99Updated 2 years ago
- Physics-informed neural networks package☆341Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆71Updated 4 years ago
- ☆10Updated 2 years ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆19Updated 9 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- The source code for "Deep transfer learning for conditional shift in regression"☆19Updated 4 years ago
- Physics Informed Neural Network for Time Series Forecasting☆13Updated 2 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆42Updated 3 years ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 4 years ago