2 papers
physics.chem-ph2026
Bayesian Localization and Uncertainty Quantification of Trace Species in Two-Dimensional SIMS Imaging
Mengchi Wang, Binsheu Shieh, Ichiro Akai +4
To enable accurate localization of trace species on material surfaces, we propose a Bayesian framework for analyzing two-dimensional (2D) secondary ion mass spectrometry (SIMS) ima…
physics.chem-ph2026
A Physics-Regularized Neural Network and Kirchhoff Markov Random Field Framework for Inferring Internal Electrochemical States from Operando Spectromicroscopy
Naoki Wada, Yuta Kimura, Masaichiro Mizumaki +3
Quantitative understanding of coupled reaction and transport processes in lithium-ion battery (LIB) composite electrodes remains challenging because key internal states cannot be m…