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Nicholas Geneva committed Dec 2, 2020
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Expand Up @@ -4,7 +4,7 @@ Multi-fidelity Generative Deep Learning Turbulent Flows [[FoDS]()][[ArXiv](https
[Nicholas Geneva](https://nicholasgeneva.com/), [Nicholas Zabaras](https://cics.nd.edu)

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[![Documentation Status](https://readthedocs.org/projects/deep-turbulence/badge/?version=latest)](https://deep-turbulence.readthedocs.io/en/latest/?badge=latest) ![dataset](https://zenodo.org/badge/DOI/10.5281/zenodo.4298896.svg) ![liscense](https://img.shields.io/github/license/zabaras/deep-turbulence)
[![Documentation Status](https://readthedocs.org/projects/deep-turbulence/badge/?version=latest)](https://deep-turbulence.readthedocs.io/en/latest/?badge=latest) [![dataset](https://zenodo.org/badge/DOI/10.5281/zenodo.4298896.svg)](https://doi.org/10.5281/zenodo.4298896) [![liscense](https://img.shields.io/github/license/zabaras/deep-turbulence)](https://github.com/zabaras/deep-turbulence/blob/master/LICENSE)

A novel multi-fidelity deep generative model is introduced for the surrogate modeling of high-fidelity turbulent flow fields given the solution of a computationally inexpensive but inaccurate low-fidelity solver.

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