Predictive Data-Driven Model Based on Generative Adversarial Network for Premixed Turbulence-Combustion Regimes

Summary

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Authors: T. Grenga, L. Nista, C. Schumann, A. N. Karimi, G. Scialabba, A. Attili & H. Pitsch

Journal title: Combustion Science and Technology

Journal publisher: Taylor and Francis

Published year: 2022

DOI identifier: 10.1080/00102202.2022.2041624

ISSN: 1563-521X