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 2 years ago
- ☆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
- 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.
- ☆19Apr 5, 2024Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆52Mar 24, 2022Updated 4 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆26May 17, 2023Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ☆33Jan 19, 2026Updated 5 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…☆14Dec 21, 2021Updated 4 years ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated 2 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.
- ☆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 5 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆36Apr 15, 2023Updated 3 years ago
- ☆39Nov 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
- Physics-Informed Neural Network☆95May 10, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆12Dec 3, 2024Updated last year
- Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS☆20Jan 9, 2025Updated last year
- The Smoothed Particle Finite Element Method (SPFEM) has gained popularity as one of the effective numerical methods for modelling geotech…☆21May 26, 2025Updated last year
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆26Mar 30, 2026Updated 3 months ago
- 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 6 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆78Apr 17, 2026Updated 2 months 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
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- 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.
- POD-PINN code and manuscript☆61Nov 10, 2024Updated last year
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆21Jul 22, 2022Updated 3 years ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆24May 25, 2026Updated last month
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 3 years ago
- A simple CUDA accelerated material point method simulation.☆10Apr 27, 2020Updated 6 years ago
- [ICLR 2026] Polynomial, trigonometric, and tropical activations☆16Feb 23, 2026Updated 4 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆28Nov 6, 2024Updated last year