Competitive Physics Informed Networks
☆31Sep 21, 2024Updated last year
Alternatives and similar repositories for CPINN
Users that are interested in CPINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Jul 27, 2022Updated 3 years ago
- Solving PDEs with quantum algorithms: A tutorial at IEEE QCE 2023☆25Sep 26, 2023Updated 2 years ago
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- CFD solve on a current quantum computer☆16Dec 25, 2024Updated last year
- Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation☆22Sep 27, 2021Updated 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.
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆13Dec 12, 2022Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- ☆16Dec 6, 2021Updated 4 years ago
- Research/development of physics-informed neural networks for dynamic systems☆33Nov 25, 2024Updated last year
- ☆11Aug 30, 2023Updated 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…☆32Jan 20, 2025Updated last year
- ☆19Oct 17, 2021Updated 4 years ago
- ☆12Feb 14, 2022Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆268Feb 1, 2023Updated 3 years 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.
- Physics-informed neural networks for studying heat transfer in porous media☆21Jun 13, 2025Updated last year
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- This is the code of the Deep neural Operator for Free Boundary Problems☆15Mar 22, 2026Updated 3 months ago
- Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.☆15May 1, 2025Updated last year
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Near-term quantum algorithm benchmarking for PDEs☆13Jun 6, 2024Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆214Jul 16, 2020Updated 6 years ago
- This repository consists of two-step training DeepONet code.☆13May 22, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Jun 27, 2022Updated 4 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- ☆12Apr 18, 2023Updated 3 years ago
- Density-based topology optimization via the deep energy method☆22Nov 1, 2022Updated 3 years ago
- ☆27Oct 15, 2020Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆204Apr 7, 2024Updated 2 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
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Apr 7, 2025Updated last year
- This is the code of my master thesis.☆219Feb 7, 2026Updated 5 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆45Mar 4, 2025Updated last year
- Physics Informed Neural Network for solving 3D transient heat transfer☆16Apr 29, 2026Updated 2 months ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆24Nov 8, 2022Updated 3 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆26Aug 3, 2024Updated last year
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- An effective algorithm for training a quadratic network☆13Jun 3, 2022Updated 4 years ago
- ☆13Jul 12, 2024Updated 2 years ago