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

Mathis Bode (2022)

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DOI: 10.48550/ARXIV.2210.16219

access: open

type: Informal or Other Publication

metadata version: 2022-11-03

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  dblp key:
  - journals/corr/abs-2210-16219
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-16219
Mathis Bode:
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Finite-Rate-Chemistry Flows and Predicting Lean Premixed Gas Turbine Combustors. CoRR abs/2210.16219 (2022)

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