10 citations · 26 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
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,…
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…
DNS Study of the Global Heat Release Rate During Early Flame Kernel Development under Engine Conditions
Tobias Falkenstein, Seongwon Kang, Liming Cai +2
Despite the high technical relevance of early flame kernel development for the reduction of cycle-to-cycle variations in spark ignition engines, there is still a need for a better…
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
Sumedh Yadav, Mathis Bode
A scalable graphical method is presented for selecting, and partitioning datasets for the training phase of a classification task. For the heuristic, a clustering algorithm is requ…