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• W3099698478 startingPage "116113" @default.
• W3099698478 abstract "Conventional geological and environmental analyses rely heavily on the geologists’ assessments and time-consuming laboratory analyses that are relatively burdensome. Certain features of laser-induced breakdown spectroscopy (LIBS), especially the rapid and without complex sample preparation analysis (e.g., the remote and on-site detections and multi-element analyses), can significantly accelerate the field or remote detection of geological and environmental resources. Moreover, the LIBS technique combined with machine learning becomes an effective means to improve the accuracy of classification and quantitative analysis of the information derived from LIBS spectra data sets. This paper presents a brief account of LIBS equipments, preparation of samples, the spectral fusion technology, field-portable and remote LIBS, the machine learning methods in LIBS, the applications of LIBS to analyzing various geological and environmental materials at some specific field sites during the past six years. Finally, the potential applications of LIBS for some future developments are proposed. • The progresses in geochemical and environmental resources exploration by LIBS combined with machine learning are summarized. • The advantages of LIBS combined with machine learning in geochemical and environmental resources exploration are discussed. • The prospects of LIBS combined with machine learning methods are also addressed." @default.
• W3099698478 created "2020-11-23" @default.
• W3099698478 creator A5029080381 @default.
• W3099698478 creator A5033362349 @default.
• W3099698478 creator A5037742713 @default.
• W3099698478 date "2020-12-01" @default.
• W3099698478 modified "2023-10-17" @default.
• W3099698478 title "Applications of laser-induced breakdown spectroscopy (LIBS) combined with machine learning in geochemical and environmental resources exploration" @default.
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