利用机器学习评估氢化锂环境调节光谱数据融合

Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES) Pub Date : 1900-01-01 DOI:10.1364/lacsea.2022.lf1c.4

Ryan E. Pinson, Phillip R. Jenkin, Andrew V. Giminaro, A. Patnaik

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引用次数: 0

摘要

利用LIBS和拉曼光谱，LiH反应与湿度和温度是已知的。采用多元模型对湿度和温度条件进行了研究。这些产生的缺陷被用来表征这些反应的环境。

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

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.

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Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)

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