Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems
☆13Jul 27, 2022Updated 4 years ago
Alternatives and similar repositories for PINN-Conduction
Users that are interested in PINN-Conduction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆13Dec 12, 2022Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆44Sep 18, 2022Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 5 years ago
- Heat Equation FEM and PINN solver☆11Apr 24, 2022Updated 4 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Jun 27, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Competitive Physics Informed Networks☆31Sep 21, 2024Updated last year
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Dec 15, 2023Updated 2 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Jul 22, 2026Updated 3 weeks ago
- Physics informed neural network (PINN) for the 1D Heat equation☆23Nov 9, 2023Updated 2 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years ago
- This is the supporting material for the tutorial on fibre based hyperelasticity using a local coordinate basis in Abaqus☆21Nov 18, 2019Updated 6 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated 2 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆13Nov 23, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆28Oct 11, 2019Updated 6 years ago
- Neutronics, Thermal-hydraulics and Structure Multi-physics Coupled Simulation of Heat Pipe Reactor☆15Dec 12, 2019Updated 6 years ago
- Object-oriented programming language for writing smart contracts on all platforms. Built to work alongside BenchChain distributed virtua…☆11Apr 17, 2018Updated 8 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆26May 27, 2025Updated last year
- This library has a lot of Fortran Routines for model implicit material constitutive behavior. There are implementation of Neo-Hooken, Odg…☆27May 20, 2017Updated 9 years ago
- PINN for heat transfer problems☆26Jun 23, 2021Updated 5 years ago
- This program implements day-ahead scheduling models (i) SCUC with daily/constant line rating and (ii) SCUC with hourly/dynamic line ratin…☆25Mar 22, 2023Updated 3 years ago
- python script to convert Abaqus results in obj format to vtk format which can be red in Paraview☆16Jun 29, 2018Updated 8 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆174Jan 12, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles☆23Jan 30, 2019Updated 7 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated 2 months ago
- Stochastic reconstruction of heterogeneous materials using X-ray tomography projections☆14Jun 19, 2017Updated 9 years ago
- ☆11Aug 30, 2023Updated 2 years ago
- ☆17Sep 12, 2024Updated last year
- ☆15Dec 13, 2022Updated 3 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Apr 7, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- HSTGODE code☆11Nov 26, 2023Updated 2 years ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆14May 14, 2024Updated 2 years ago
- ☆13Jul 4, 2024Updated 2 years ago
- Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder☆25Jun 25, 2025Updated last year
- ☆13Jan 6, 2023Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- This project shows how to create a compilation project for MFront properties, behaviours and models☆24Apr 29, 2026Updated 3 months ago