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Application of a cDCGAN to predict the flow around a WT conditioned to the inflow velocity. GAN trained with CFD simulations. Work based on Zhang J, Zhao X, "Wind farm wake modeling based on deep convolutional conditional generative adversarial network"

Shell 0.22% Python 59.50% Jupyter Notebook 40.28%

wakegan's Introduction

Computer Scientist.

About

🔭 I'm passionate about Deep Learning, Computational Mechanics and Software Development.

👯 I'm interested in collaborating, for any idea drop me a line via email.

💭 I aim to spread awareness about the paramount importance of open-source projects in promoting transparency, cooperation, and reproducibility in computer science and software development.

👉🏼 Connect with me via Mauri's LinkedIN.

👨🏻‍💻 I'm one of the ONSAS developers, an open-source community developing software for static/dynamic and linear/non-linear analysis of structures.

Learning and skills

Julia CUDC Matlab Latex Octave PyTorch TensorFlow C++ Python

wakegan's People

Contributors

maxibove13 avatar mvanzulli avatar

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