Paper List of Physics-Informed Neural Network (PINN)
☆59Mar 2, 2026Updated 3 weeks ago
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- Physics-informed neural networks (PINNs)☆15Jun 7, 2022Updated 3 years ago
- 2D wave equation simulated by PINN and FDM☆14Feb 20, 2022Updated 4 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
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- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 2 years ago
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- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆18Nov 3, 2022Updated 3 years 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
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- Competitive Physics Informed Networks☆32Sep 21, 2024Updated last year
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆13May 18, 2020Updated 5 years ago
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- ☆22Feb 25, 2019Updated 7 years ago
- Data preprocess method on Physics-informed neural networks☆28Feb 21, 2025Updated last year
- A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on …☆78Updated this week
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆37Sep 9, 2025Updated 6 months ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆105Nov 17, 2025Updated 4 months ago
- ☆31May 4, 2020Updated 5 years ago
- A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.☆53Jan 24, 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 3 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆21Nov 15, 2023Updated 2 years ago
- Collated optimization models from numerous sources☆13Jun 18, 2023Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- ☆16Apr 28, 2024Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆94Apr 4, 2024Updated last year
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆12May 3, 2021Updated 4 years ago
- The official code repository for our TGRS paper "DiffusionEMIS: Diffusion Model for 3D Electromagnetic Inverse Scattering".☆16Mar 18, 2024Updated 2 years ago
- ☆11May 30, 2021Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆102Aug 17, 2023Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆33Aug 11, 2023Updated 2 years ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- 基于 RSSHUB，Onebot HTTP 协议独立运行的推特推送模块☆14Aug 8, 2022Updated 3 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆20Jan 15, 2022Updated 4 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Aug 28, 2023Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆61Dec 7, 2020Updated 5 years ago