☆103Oct 17, 2023Updated 2 years ago
Alternatives and similar repositories for Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs
Users that are interested in Inverse-Problems-using-Physics-Informed-Neural-Networks-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:
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- ☆16Jul 10, 2025Updated last year
- This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…☆195May 11, 2026Updated 2 months ago
- ☆26Jul 10, 2025Updated last year
- ☆13Sep 17, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the …☆74Apr 28, 2025Updated last year
- This repository contains codes for solving inverse obstacle scattering problems to recover the shape of the obstacle for sound soft, soun…☆14Jul 9, 2024Updated 2 years ago
- Solve mass spring damper system with physics-informed neural networks in MATLAB☆16Apr 22, 2026Updated 3 months ago
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆32Jan 17, 2025Updated last year
- Compare PyTorch models from MATLAB using co-execution☆14Apr 6, 2026Updated 3 months ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆112Apr 15, 2022Updated 4 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆50Sep 21, 2022Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Jan 5, 2021Updated 5 years ago
- Distributed multi-agent average consensus☆11Mar 17, 2020Updated 6 years ago
- A python package for physics-informed machine learning for solving partial differential equations☆13Feb 12, 2025Updated last year
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆69Jul 14, 2026Updated 2 weeks ago
- Realizing chaos of fractional order chaotic system☆11Mar 3, 2017Updated 9 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆20Sep 6, 2023Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,057Feb 11, 2026Updated 5 months ago
- Deep Autoencoder with Extreme Learning Machines☆14Nov 4, 2021Updated 4 years ago
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite …☆18Jul 6, 2024Updated 2 years ago
- Solved a 5 dofs system with Newmark Beta time stepping and Newton Raphson method to solve for a friction Non-linearity (Jenkins Elements)☆13Jan 6, 2021Updated 5 years ago
- physics-informed neural network and inverse physics-informed neural network☆17Jul 9, 2023Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆230Feb 21, 2023Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated last month
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆15Oct 10, 2023Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆214Jul 16, 2020Updated 6 years ago
- Computer simulation on the crystallization of polymer dendritic crystal based on the phase-field model☆23Nov 10, 2018Updated 7 years ago
- PINN for obtaining WSS from sparse data☆77Feb 21, 2024Updated 2 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.
- ☆15Jun 13, 2018Updated 8 years ago
- This is the code of my master thesis.☆219Feb 7, 2026Updated 5 months ago
- This repository contains the code for Physics-Informed Neural Network for DC Optimal Power Flow applications and the worst case guarantee…☆30Sep 2, 2021Updated 4 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆26May 11, 2023Updated 3 years ago
- The official implementation of two AI-enhanced numerical solvers: NeurVec (Sci. Rep.) and AttNS (ICML'24)☆27May 21, 2024Updated 2 years ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆25Aug 2, 2021Updated 4 years ago
- Investigating PINNs☆777Aug 13, 2021Updated 4 years ago