Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
☆35Dec 4, 2023Updated 2 years ago
Alternatives and similar repositories for CAN-PINN
Users that are interested in CAN-PINN 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 convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆81Feb 1, 2023Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆28Sep 30, 2021Updated 4 years ago
- A GPU-accelerated differentiable fluid simulator written in JAX.☆11Feb 1, 2021Updated 5 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆35May 16, 2025Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆37Jan 15, 2024Updated 2 years ago
- ☆22Nov 24, 2024Updated last year
- ☆49May 18, 2022Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- ☆13Mar 21, 2024Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆18Dec 6, 2024Updated last year
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆10Mar 8, 2023Updated 3 years ago
- ☆34Dec 8, 2022Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆95Aug 26, 2025Updated 10 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 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
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆14Aug 1, 2021Updated 4 years ago
- ☆266Oct 14, 2021Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆108Aug 17, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated 2 years ago
- CTF workshop deep learning tutorial and hackathon☆13Feb 16, 2023Updated 3 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- The construction of TgNN surrogate☆15Dec 26, 2020Updated 5 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 5 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 2 months ago
- ☆15Dec 20, 2020Updated 5 years ago
- ☆17Mar 10, 2022Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆97May 11, 2022Updated 4 years ago
- ☆31Jan 7, 2026Updated 5 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆267Feb 1, 2023Updated 3 years ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆24May 25, 2026Updated last month
- [ICLR 2023] Factorized Fourier Neural Operators☆196Oct 13, 2023Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆49Jan 31, 2024Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago