Physics-Informed Neural Networks Trained with Particle Swarm Optimization
☆29Sep 20, 2022Updated 3 years ago
Alternatives and similar repositories for PSO-PINN
Users that are interested in PSO-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:
- Code to Paper: On the Apparent Pareto Front of Physics-Informed Neural Networks☆15Mar 18, 2025Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆30Jul 26, 2024Updated 2 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
- Project under CSF407 - AI☆13Jun 24, 2024Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 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.
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 3 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆20Dec 8, 2023Updated 2 years ago
- Physics Informed Neural Network for Time Series Forecasting☆13Jun 1, 2023Updated 3 years ago
- Course slides☆12Jan 14, 2025Updated last year
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆11Jul 15, 2026Updated 3 weeks ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆14Jan 26, 2022Updated 4 years ago
- Welcome to the Applied Computational Fluid Dynamics (CFD) Tutorials repository. This repository contains a series of hands-on tutorials d…☆17Nov 10, 2024Updated last year
- Physics-informed radial basis network☆42May 20, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A repo to learn and curate PINN☆37May 10, 2024Updated 2 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- 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
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated 11 months ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆18Apr 12, 2025Updated last year
- ☆31Jan 7, 2026Updated 7 months ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆17Dec 21, 2021Updated 4 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆18Nov 1, 2022Updated 3 years ago
- Matlab library of data assimilation methods☆18Apr 13, 2016Updated 10 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.
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆67Feb 20, 2020Updated 6 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆29Feb 19, 2023Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆28Aug 3, 2024Updated 2 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion☆18Jul 3, 2026Updated last month
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Aug 18, 2023Updated 2 years ago
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Dec 3, 2021Updated 4 years ago
- CO2GraVISim is a reduced physics model of the flow of CO2 injected into a porous reservoir☆12Mar 25, 2025Updated last year
- 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.
- TensorFlow PINN study for a couple of Fokker-Planck equations.☆13Jun 23, 2022Updated 4 years ago
- Artificial neural networks for modeling lignin pyrolysis☆14Apr 25, 2017Updated 9 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆34Mar 19, 2026Updated 4 months ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 3 months ago
- Fast Kolmogorov-Arnold Network in JAX, initial experiments☆17May 20, 2024Updated 2 years ago
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆36Feb 18, 2025Updated last year
- Physics Informed Neural Networks (PINNs) code to solve the 3D Poisson-Boltzmann equation.☆17Mar 31, 2025Updated last year