☆47May 18, 2022Updated 4 years ago
Alternatives and similar repositories for PINN_multiphysics_multifidelity
Users that are interested in PINN_multiphysics_multifidelity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- PINN for obtaining WSS from sparse data☆75Feb 21, 2024Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆97Apr 4, 2024Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆40Jul 12, 2023Updated 2 years ago
- ☆31Oct 21, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Multi-fidelity regression with neural networks☆18Oct 29, 2025Updated 6 months ago
- ☆15Dec 20, 2020Updated 5 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆26Aug 3, 2024Updated last year
- ☆11Mar 18, 2023Updated 3 years ago
- Easily convert OpenFOAM cases into dataframes for machine learning☆12Jan 12, 2025Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆43Jun 24, 2022Updated 3 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- ☆96Nov 25, 2024Updated last year
- ☆43May 10, 2023Updated 3 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.
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆80Feb 1, 2023Updated 3 years ago
- ☆15Apr 9, 2026Updated last month
- Multi-fidelity reduced-order surrogate modeling☆34Jun 17, 2025Updated 11 months ago
- multi-fidelity neural network☆23Mar 1, 2026Updated 2 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Apr 29, 2026Updated 3 weeks ago
- machine learning-accelerated computational fluid dynamics☆21Jan 12, 2022Updated 4 years ago
- Multi-fidelity probability machine learning☆22Apr 25, 2026Updated last month
- This is the implementation of the PI-UNet for HSL-TFP☆28Feb 19, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- physics-informed neural network for elastodynamics problem☆164Jan 20, 2022Updated 4 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Dec 27, 2020Updated 5 years ago
- ☆32Oct 17, 2022Updated 3 years ago
- DRLFluent: a distributed co-simulation framework coupling reinfocement learning and computational fluids dynamics on HPC.☆13May 27, 2025Updated 11 months ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Jan 15, 2026Updated 4 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆88Aug 13, 2021Updated 4 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Sep 23, 2023Updated 2 years ago
- Solving PDEs with quantum algorithms: A tutorial at IEEE QCE 2023☆24Sep 26, 2023Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years 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.
- Pyvisco is a Python library that supports the identification of Prony series parameters for Generalized Maxwell models describing linear …☆21May 18, 2026Updated last week
- ☆215Feb 16, 2024Updated 2 years ago
- ☆26Jul 10, 2025Updated 10 months ago
- ☆17Nov 26, 2024Updated last year
- ☆40Sep 11, 2023Updated 2 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆24Nov 15, 2023Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago