W3103462314

• Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation

  2024 Computers & Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access

  11

  citations
• Influence of adversarial training on super-resolution turbulence reconstruction

  2024 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access

  26

  citations
• Machine-learning-augmented domain decomposition method for near-wall turbulence modeling

  2024 Physical Review Fluids article Engineering Computational Fluid Dynamics and Aerodynamics

  12

  citations
• The transition to sustainable combustion: Hydrogen- and carbon-based future fuels and methods for dealing with their challenges

  2024 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies Open access

  108

  citations
• Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows

  2022 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access

  40

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

  2022 Combustion Science and Technology article Engineering Combustion and flame dynamics Open access

  15

  citations
• The influence of adversarial training on turbulence closure modeling

  2022 AIAA SciTech Forum conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

  6

  citations

7 results