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Applying Physics-Informed Enhanced Super-Resolution Generative
  Adversarial Networks to Finite-Rate-Chemistry Flows and Predicting Lean
  Premixed Gas Turbine Combustors

Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Finite-Rate-Chemistry Flows and Predicting Lean Premixed Gas Turbine Combustors

28 October 2022
Mathis Bode
    AI4CE
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Papers citing "Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Finite-Rate-Chemistry Flows and Predicting Lean Premixed Gas Turbine Combustors"

2 / 2 papers shown
Title
Applying Physics-Informed Enhanced Super-Resolution Generative
  Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform
  Meshes and Demonstration of an Accelerated Simulation Workflow
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow
Mathis Bode
AI4CE
22
3
0
28 Oct 2022
Applying Physics-Informed Enhanced Super-Resolution Generative
  Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame
  Kernel Direct Numerical Simulation Data
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data
Mathis Bode
M. Gauding
Dominik Goeb
Tobias Falkenstein
H. Pitsch
AI4CE
19
17
0
28 Oct 2022
1