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20152022
most citedUsing Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows

10 citations · 36 across the 10 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.LG201910 cited

Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows

Mathis Bode, Michael Gauding, Zeyu Lian +5

Turbulence is still one of the main challenges for accurately predicting reactive flows. Therefore, the development of new turbulence closures which can be applied to combustion pr…

physics.comp-ph2019

Theoretical analysis and kinetic modeling on hydrogen addition and abstraction by H radical of 1,3-cyclopentadiene and the associated chain-branching reactions

Qian Mao, Liming Cai, Heinz Pitsch

Cyclopentadiene (CPD) is an important intermediate in the combustion of fuel and the formation of aromatics. In the present study, the kinetics and thermodynamic properties for hyd…

physics.flu-dyn2019

The Role of Differential Diffusion during Early Flame Kernel Development under Engine Conditions -- Part II: Effect of Flame Structure and Geometry

Tobias Falkenstein, Hongchao Chu, Mathis Bode +2

From experimental spark ignition (SI) engine studies, it is known that the slow-down of early flame kernel development caused by the ()-property of common transporta…

physics.flu-dyn2019

The Role of Differential Diffusion during Early Flame Kernel Development under Engine Conditions -- Part I: Analysis of the Heat-Release-Rate Response

Tobias Falkenstein, Aleksandra Rezchikova, Raymond Langer +3

Although experimental evidence for the correlation between early flame kernel development and cycle-to-cycle variations (CCV) in spark ignition (SI) engines was provided long ago,…

physics.comp-ph20193 cited

Deep learning at scale for subgrid modeling in turbulent flows

Mathis Bode, Michael Gauding, Konstantin Kleinheinz +1

Modeling of turbulent flows is still challenging. One way to deal with the large scale separation due to turbulence is to simulate only the large scales and model the unresolved co…

physics.flu-dyn2019

Analysis of Premixed Flame Kernel/Turbulence Interactions under Engine Conditions based on DNS Data

Tobias Falkenstein, Seongwon Kang, Heinz Pitsch

Although the evolution of premixed flames in turbulence has been frequently studied, it is not well understood how small flames interact with large-scale turbulent flow motion. Sin…