2D 3T PINNs for solving 2-D 3-T heat conduction equations
☆12Mar 17, 2025Updated last year
Alternatives and similar repositories for 2D3T-PINNs
Users that are interested in 2D3T-PINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PINN Research Benchmark☆15Mar 30, 2026Updated 7 months ago
- Physics Informed Neural Network for solving 3D transient heat transfer☆16Apr 29, 2026Updated 6 months ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆13Nov 23, 2025Updated 11 months ago
- Physics-informed neural networks for studying heat transfer in porous media☆21Jun 13, 2025Updated last year
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- ☆16Oct 29, 2023Updated 3 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
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆19Jul 28, 2022Updated 4 years ago
- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.☆22Mar 27, 2025Updated last year
- ☆29Oct 15, 2020Updated 6 years ago
- ☆18Nov 26, 2024Updated last year
- Ensembe PINN for improved inverse modeling☆11Apr 26, 2023Updated 3 years ago
- ☆22Apr 21, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ResNet_LSTM_GCN☆14Feb 12, 2023Updated 3 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆26Mar 30, 2026Updated 7 months ago
- ☆12Feb 25, 2022Updated 4 years ago
- We proposed the simple adaptive activation functions deep neural networks. The proposed method is simple and easy to implement in any neu…☆12Feb 1, 2023Updated 3 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
- This is the implementation of the PI-UNet for HSL-TFP☆29Feb 19, 2023Updated 3 years ago
- Indonesia's COVID-19 daily new cases prediction using LSTM-GCN method.☆15Oct 6, 2020Updated 6 years ago
- POD-PINN code and manuscript☆62Nov 10, 2024Updated last year
- ☆13May 16, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆23Jun 10, 2026Updated 4 months ago
- Competitive Physics Informed Networks☆31Sep 21, 2024Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆38Apr 15, 2023Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆44Jul 12, 2023Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 5 years ago
- ☆17Jun 7, 2025Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆37Feb 4, 2022Updated 4 years ago
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆22Jun 26, 2024Updated 2 years ago
- Reproducible material for Meta learning for improved neural network wavefield solutions☆15Mar 3, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆19May 11, 2022Updated 4 years ago
- ☆34May 9, 2025Updated last year
- Physics-informed radial basis network☆43May 20, 2024Updated 2 years ago
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆79Jan 2, 2026Updated 10 months ago
- ☆14Aug 22, 2025Updated last year
- An easy tool for extract the formula from the website.☆23Aug 27, 2025Updated last year