Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular geometries
☆15Jun 27, 2025Updated 10 months ago
Alternatives and similar repositories for PhysicsInformedPointNet
Users that are interested in PhysicsInformedPointNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Apr 11, 2024Updated 2 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆16Aug 24, 2024Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- Using Kolmogorov Arnold Networks (KANs) instead of MLPs in PointNet for Classification and Segmentation of 3D Point Sets☆16Apr 23, 2026Updated last week
- ☆11Jan 7, 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.
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆46Apr 23, 2026Updated last week
- ☆13Jan 23, 2024Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- This is a 3D test case of the code PFMICE☆12Mar 1, 2022Updated 4 years ago
- ☆27Jun 12, 2025Updated 10 months ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Jan 15, 2026Updated 3 months ago
- The code of PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability☆27Apr 3, 2023Updated 3 years ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆30Mar 12, 2026Updated last month
- 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.
- Repository for sharing code and data assocaited with En-DeepONet architecture☆36Jan 15, 2024Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated this week
- ☆40Sep 11, 2023Updated 2 years ago
- Coding numerical methods using ChatGPT: successes, failures, and challenges☆20Jul 14, 2023Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆25May 9, 2021Updated 4 years ago
- 这是一个基于 Python 有限元理论,算法与应用的仓库☆14Oct 18, 2019Updated 6 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆75Jan 2, 2026Updated 4 months ago
- 2D & 3D Jump Flooding Algorithm and 2D Centroidal Voronoi Tessellation based on taichi☆11Nov 30, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆12Jan 6, 2023Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆30Nov 26, 2023Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆29Apr 20, 2024Updated 2 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Jan 13, 2021Updated 5 years ago
- Staggered HARd-constrained Physics-Informed Neural Networks for Phase-field modelling of corrosion☆16Feb 19, 2025Updated last year
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- ☆32Mar 14, 2025Updated last year
- ☆38Jul 9, 2025Updated 9 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20Nov 26, 2025Updated 5 months 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.
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆34Apr 15, 2023Updated 3 years ago
- ☆26Jul 10, 2025Updated 9 months 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
- Multi-fidelity Gaussian Process☆28Jan 10, 2021Updated 5 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Dec 27, 2020Updated 5 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic mani…☆12Aug 18, 2022Updated 3 years ago