Physics-informed neural network retrieval of spatially-resolved soot properties from multi-wavelength optical diagnostics
Date Issued
2026-02
Author(s) USM
DOI
10.1016/j.carbon.2026.121296
Abstract
Improving models of soot formation is essential, which relies on accurate quantitative characterization of soot in standardized flames. Complete characterization requires the coupling of different diagnostic techniques. In the present work, spatially reso
