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January 01, 2021 conference-paper Aachen paper

Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows

Lecture notes in computer science, pp. 138–153

DOI: 10.1007/978-3-030-90539-2_9 OpenAlex

Authors 2

  1. Michael Gauding corresponding

    Université de Rouen Normandie

    Affiliation as printed

    University of Rouen, Rouen, France

  2. Mathis Bode Aachen Institute for Combustion Technology

    RWTH Aachen University

    Affiliation as printed

    Institute for Combustion Technology, RWTH Aachen University, Aachen, Germany

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References 54