21 citations · 23 across the 4 of their papers we have counts for
4 papers
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…
Numerical Simulation of Reacting and Non-Reacting Liquid Jets in Supersonic Crossflow
Michael Ullman, Shivank Sharma, Venkat Raman
Canonical jet in supersonic crossflow studies have been widely used to study fundamental physics relevant to a variety of applications. While most JISC works have considered gaseou…
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…
A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models
Vansh Sharma, Venkat Raman
This research explores the integration of large language models (LLMs) into scientific data assimilation, focusing on combustion science as a case study. Leveraging foundational mo…