Evaluating Spectroscopic Data Fusion for Environmental Conditioning of Lithium Hydride Using Machine Learning

Abstract

Using LIBS and Raman spectroscopy, LiH reactions with moisture and temperature are known. Humidity and temperature condition were studied using multivariate modeling. These resulting defects were used to characterize the environments of these reactions.