ZzYyPp47 / PINNLinks
一个简易的模块化物理信息神经网络实现(PINN)
☆50Updated 2 months ago
Alternatives and similar repositories for PINN
Users that are interested in PINN are comparing it to the libraries listed below
Sorting:
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆15Updated 2 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆42Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆97Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 6 months ago
- Basic implementation of physics-informed neural network with pytorch.☆84Updated 3 years ago
- DeepXDE and PINN☆146Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆261Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆98Updated 2 years ago
- Physics-Informed Neural Network☆93Updated last year
- This is the code of my master thesis.☆176Updated 9 months ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆24Updated last year
- PINN program for computational mechanics☆130Updated last year
- Physics Informed Neural Network for solving 3D transient heat transfer☆14Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆30Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆167Updated last year
- This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid …☆15Updated last year
- 本项目利用pytorch实现了一个简易的模块化DeepONet，凭此可以快速的实现一些简易的DeepONet。☆15Updated 6 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆267Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆60Updated 5 years ago
- Physics-informed neural networks package☆341Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago
- PINN in solving Navier–Stokes equation☆124Updated 5 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆390Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆90Updated last year