3 papers
eess.IV2026
Deep Learning-Based Characterization of Detonation-Cell Size Distributions in Soot-Foil Records
Mingyang Bu, Robson A. Schneider, Karl P. Chatelain +5
The geometric size and regularity of detonation cells are key physical parameters for characterizing detonation waves. Traditional manual measurement of soot foils is time-consumin…
physics.flu-dyn2025
JANC: A cost-effective, differentiable compressible reacting flow solver featured with JAX-based adaptive mesh refinement
Haocheng Wen, Faxuan Luo, Sheng Xu +1
The compressible reacting flow numerical solver is an essential tool in the study of combustion, energy disciplines, as well as in the design of industrial power and propulsion dev…
physics.flu-dyn2024
Physics-informed Shadowgraph Network: An End-to-end Density Field Reconstruction Method
Xutun Wang, Yuchen Zhang, Zidong Li +2
This study presents a novel approach for quantificationally reconstructing density fields from shadowgraph images using physics-informed neural networks