Michael Zhao's Research Groups's Projects
ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.
【编程随想】收藏的电子书清单(多个学科,含下载链接)
DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Gradient-based Design Optimization
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
This repository contains implementations and illustrative code to accompany DeepMind publications
A library for scientific machine learning
C++/CUDA/OpenMP based Smoothed Particle Hydrodynamics (SPH) Solver
Automatically exported from code.google.com/p/firefoam-dev
Platform for General Robot Intelligence Development
Hidden Fluid Mechanics
Lab Materials for MIT 6.S191: Introduction to Deep Learning
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.
MACH: MDO of Aircraft Configurations with High fidelity
Integrated Science Laboratory
Multiphysics with OpenMDAO
Config files for my GitHub profile.
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
OpenFOAM-preCICE adapter
OpenMDAO repository.
A python based open-source (Apache 2.0) engineering analysis framework designed to facilitate the use of MDAO. To add issues, visit our user forums at http://www.openmdao.org/forum . NOTE: this version is no longer being developed. The current active version can be found here: https://github.com/OpenMDAO/OpenMDAO.
【编程随想】收藏的开源项目清单
A parametric aircraft geometry tool
Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular geometries
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations