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:
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆34Aug 11, 2023Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Deep finite volume method☆23Jun 26, 2024Updated 2 years ago
- ☆46Mar 4, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆17Jun 6, 2023Updated 3 years ago
- ☆14Aug 22, 2025Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆20Sep 6, 2023Updated 3 years ago
- ☆16Oct 29, 2023Updated 2 years ago
- 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
- Basic implementation of physics-informed neural network with pytorch.☆104Sep 26, 2022Updated 3 years ago
- 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
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆231Feb 21, 2023Updated 3 years ago
- ☆78Nov 15, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Physics-Informed Neural Network☆94May 10, 2024Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆27May 17, 2023Updated 3 years ago
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆123Jun 1, 2026Updated 3 months ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆29Jul 26, 2024Updated 2 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆27Jul 2, 2025Updated last year
- ☆16Aug 27, 2017Updated 9 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years 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.
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆34Jun 2, 2023Updated 3 years 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☆18Mar 20, 2024Updated 2 years ago
- Code to Paper: On the Apparent Pareto Front of Physics-Informed Neural Networks☆15Mar 18, 2025Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆37Apr 15, 2023Updated 3 years ago
- ☆443Nov 14, 2025Updated 10 months ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 5 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆107Oct 24, 2022Updated 3 years ago
- ☆12Dec 3, 2024Updated last year
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 5 years ago
- The Smoothed Particle Finite Element Method (SPFEM) has gained popularity as one of the effective numerical methods for modelling geotech…☆23May 26, 2025Updated last year
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆26May 11, 2023Updated 3 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆41Nov 20, 2024Updated last year
- ☆272Oct 14, 2021Updated 4 years ago