33 citations · 57 across the 4 of their papers we have counts for
4 papers
Flow reconstruction in time-varying geometries using graph neural networks
Bogdan A. Danciu, Vito A. Pagone, Benjamin Böhm +2
The paper presents a Graph Attention Convolutional Network (GACN) for flow reconstruction from very sparse data in time-varying geometries. The model incorporates a feature propaga…
Accurate ignition detection of solid fuel particles using machine learning
Tao Li, Zhangke Liang, Andreas Dreizler +1
In the present work, accurate determination of single-particle ignition is focused on using high-speed optical diagnostics combined with machine learning approaches. Ignition of in…
Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
Olaf Beyersdorff, Benjamin Böhm
QBF solvers implementing the QCDCL paradigm are powerful algorithms that successfully tackle many computationally complex applications. However, our theoretical understanding of th…
An experimental study of the detailed flame transport in a SI engine using simultaneous dual-plane OH-LIF and stereoscopic PIV
Brian Peterson, Elias Baum, Andreas Dreizler +1
Understanding the detailed flame transport in IC engines is important to predict ignition, rate of heat release and assess engine performance. This is particularly important for RA…