Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
☆42Apr 14, 2023Updated 3 years ago
Alternatives and similar repositories for AMAW-PINN
Users that are interested in AMAW-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:
- Deep finite volume method☆22Jun 26, 2024Updated last year
- ☆45Mar 4, 2025Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆20Sep 6, 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.
- ☆19Apr 5, 2024Updated 2 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆52Mar 24, 2022Updated 4 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆26May 17, 2023Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ☆32Jan 19, 2026Updated 3 months ago
- ☆13Dec 5, 2022Updated 3 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆15Dec 21, 2021Updated 4 years ago
- Data-guided physics-informed neural networks☆17Jul 16, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated 2 years ago
- ☆13Jan 23, 2024Updated 2 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆34Apr 15, 2023Updated 3 years ago
- ☆36Nov 20, 2023Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆34Aug 11, 2023Updated 2 years ago
- ☆16Aug 27, 2017Updated 8 years ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 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.
- Physics-Informed Neural Network☆95May 10, 2024Updated last year
- ☆13Dec 3, 2024Updated last year
- The Smoothed Particle Finite Element Method (SPFEM) has gained popularity as one of the effective numerical methods for modelling geotech…☆19May 26, 2025Updated 11 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆25Mar 30, 2026Updated last month
- IoT based Tool Wear Prediction, a project to collect and analyze vibration data in MATLAB and use the data to predict for tool wear.☆12Jun 21, 2020Updated 5 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆21Jun 20, 2024Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆77Apr 17, 2026Updated 2 weeks ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆293Oct 12, 2021Updated 4 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
- 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.
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆418Feb 11, 2026Updated 2 months ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆22Apr 20, 2026Updated 2 weeks ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆21Jul 22, 2022Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 2 years ago
- A simple CUDA accelerated material point method simulation.☆10Apr 27, 2020Updated 6 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Nov 6, 2024Updated last year