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3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns
ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.
AeroDynamics Laboratory Library set for the OpenFOAM(R)
Data-driven Aerodynamic Analyses of Structures using Gaussian Processes
A highly parallel application for Rayleigh-Benard and Taylor-Couette flows
Graph Convolutional Networks for Unstructured Flow Fields
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高,所以突然看到一个学者在80年代就有如此清楚的认识,十分钦佩。由于网上只有效果很差的PDF扫描版,所以我想利用OCR技术和肉眼(人体OCR)来转成现代化的文本格式。目前已经全部完成。
AMReX: Software Framework for Block Structured AMR
Atmospheric Photolysis calculation framework for CFD
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Framework for selecting a suitable ML model given a specific problem
Bayesian Inversion Problems with Reduced Order Models augmented by Deep Learning
Bayesian optimization based on Gaussian processes
Reproduction of main results of Computers & Fluids paper.
Code for neural network parameterization project
Blade Element Momentum Method for Propellers and Turbines
⚡ Computational Fluid Dynamics code for designing turbomachinery for optimal heat to electricity conversion
Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.
A model predictive control (MPC) integrated multiphase immersed boundary (IB) framework for simulating wave energy converters (WECs)
Flow simulation of nozzles on SU2 solver using structured mesh with RANS-SST combination. As a test case PSLV stage 1 and stage 3 nozzle sizes were used.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Ancillary material for the Cloud-based CAD parametrization for design space exploration and design optimization in numerical simulations
CNN for airfoil lift-to-drag-ratio prediction
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.
Bayesian Optimization to identfy coherent structures in Turbulent boundary layers
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.