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

Michael Gauding, Mathis Bode. Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows. In Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek, editors, High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers. Volume 12761 of Lecture Notes in Computer Science, pages 138-153, Springer, 2021. [doi]

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