DCN-FAU-AvH / pinns_heatLinks
In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.
☆18Updated 10 months ago
Alternatives and similar repositories for pinns_heat
Users that are interested in pinns_heat are comparing it to the libraries listed below
Sorting:
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Updated last year
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 4 months ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- Physics-Informed Neural Network☆94Updated last year
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆13Updated 7 months ago
- Paper List of Physics-Informed Neural Network (PINN)☆53Updated 3 weeks ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆29Updated 4 months ago
- ☆13Updated last year
- Physics-guided neural network framework for elastic plates☆50Updated 3 years ago
- ☆16Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆30Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Updated 3 months ago
- Competitive Physics Informed Networks☆32Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆39Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆92Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆39Updated 2 years ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Updated 2 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆62Updated this week
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 3 years ago