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cs.LG2026
Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines
Yuxuan Bao, Jan Zajac, Megan Powers +2
Bridging the sim2real gap between computationally inexpensive models and complex physical systems remains a central challenge in machine learning applications to engineering proble…
cs.LG2024
A Machine Learning Based Approach for Statistical Analysis of Detonation Cells from Soot Foils
Vansh Sharma, Michael Ullman, Venkat Raman
This study presents a novel algorithm based on machine learning (ML) for the precise segmentation and measurement of detonation cells from soot foil images, addressing the limitati…