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"Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial ..."

Mathis Bode et al. (2022)

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DOI: 10.48550/ARXIV.2210.16206

access: open

type: Informal or Other Publication

metadata version: 2022-11-03

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  - journals/corr/abs-2210-16206
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  - https://dblp.org/rec/journals/corr/abs-2210-16206
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz Pitsch:
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data. CoRR abs/2210.16206 (2022)

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