Predictive data-driven model based on generative adversarial network for premixed turbulence-combustion regimes. Grenga, T., Nista, L., Schumann, C., Karimi, A., N., Scialabba, G., Attili, A., & Pitsch, H. Combustion Science and Technology, 195(15):3923-3946, Taylor & Francis, 2023. bibtex @article{
title = {Predictive data-driven model based on generative adversarial network for premixed turbulence-combustion regimes},
type = {article},
year = {2023},
pages = {3923-3946},
volume = {195},
publisher = {Taylor & Francis},
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author = {Grenga, Temistocle and Nista, Ludovico and Schumann, Christoph and Karimi, Amir Noughabi and Scialabba, Gandolfo and Attili, Antonio and Pitsch, Heinz},
journal = {Combustion Science and Technology},
number = {15}
}
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