Paper List of Physics-Informed Neural Network (PINN)
☆92Aug 10, 2026Updated last week
Alternatives and similar repositories for PINN_Paper_List
Users that are interested in PINN_Paper_List 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 carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on …☆131Updated this week
- Physics-informed neural networks (PINNs)☆15Jun 7, 2022Updated 4 years ago
- FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling☆18Jun 1, 2025Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆29Jul 26, 2024Updated 2 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆23Jul 30, 2026Updated 2 weeks ago
- 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.
- 2D wave equation simulated by PINN and FDM☆14Feb 20, 2022Updated 4 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆25Jul 3, 2023Updated 3 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 3 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 3 years ago
- ☆11Aug 30, 2023Updated 2 years ago
- Solve mass spring damper system with physics-informed neural networks in MATLAB☆16Apr 22, 2026Updated 3 months ago
- ☆37Jul 16, 2026Updated last month
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆42Apr 14, 2023Updated 3 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆938Feb 8, 2026Updated 6 months ago
- 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.
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆37Aug 2, 2022Updated 4 years ago
- This is the official implementation of physics-informed neural networks for functional differential equations (Functional PINN) proposed …☆12Apr 9, 2025Updated last year
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆17Nov 3, 2022Updated 3 years ago
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆17Feb 5, 2021Updated 5 years ago
- ☆20Dec 22, 2025Updated 7 months ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 3 months ago
- This is the code of my master thesis.☆219Feb 7, 2026Updated 6 months ago
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆13May 18, 2020Updated 6 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.
- ☆17Jun 6, 2023Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆69Jul 14, 2026Updated last month
- ☆13Jul 12, 2024Updated 2 years ago
- [ICLR 2025] PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations☆48Nov 4, 2025Updated 9 months ago
- MATLAB codes for the RPIM-NNS☆16Jun 26, 2024Updated 2 years ago
- Competitive Physics Informed Networks☆31Sep 21, 2024Updated last year
- ☆121Mar 15, 2024Updated 2 years ago
- TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion☆18Jul 3, 2026Updated last month
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆12May 21, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆33Jun 11, 2026Updated 2 months ago
- ☆18Nov 20, 2024Updated last year
- ☆16Oct 29, 2023Updated 2 years ago
- 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
- Beam propagation method (BPM) for photonic integrated circuits (PIC), implemented in MATLAB with finite-differences in 2D. Includes slab …☆14May 30, 2022Updated 4 years ago
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 5 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,531Dec 8, 2023Updated 2 years ago