1 citations · 1 across the 2 of their papers we have counts for
6 papers
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data
Mathis Bode, Michael Gauding, Dominik Goeb +2
Models for finite-rate-chemistry in underresolved flows still pose one of the main challenges for predictive simulations of complex configurations. The problem gets even more chall…
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,…
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…
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…
Extreme Scale-out SuperMUC Phase 2 - lessons learned
Nicolay Hammer, Ferdinand Jamitzky, Helmut Satzger +36
In spring 2015, the Leibniz Supercomputing Centre (Leibniz-Rechenzentrum, LRZ), installed their new Peta-Scale System SuperMUC Phase2. Selected users were invited for a 28 day extr…