DikovAlexandr / PINNLinks
PINN (Physics-Informed Neural Networks) for the 2D heat equation
☆11Updated last year
Alternatives and similar repositories for PINN
Users that are interested in PINN are comparing it to the libraries listed below
Sorting:
- 一个简易的模块化物理信息神经网络实现(PINN)☆40Updated last month
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆17Updated last year
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆12Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆38Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆27Updated 8 months ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆9Updated 2 years ago
- ☆129Updated 3 years ago
- Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems☆44Updated 11 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆235Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆155Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- PINN in solving Navier–Stokes equation☆107Updated 5 years ago
- This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid …☆14Updated last year
- DeepXDE and PINN☆122Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch