Unsupervised classification of iron ores based on elemental and isotopic signatures from atomic and molecular emissions of laser-induced plasma.

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Bibliographic Details
Title: Unsupervised classification of iron ores based on elemental and isotopic signatures from atomic and molecular emissions of laser-induced plasma.
Authors: Choi SU; Laser Technologies Group, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, United States., Han SC; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, United States., Yun JI; Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daehak-ro 291, Yuseong-gu, Daejeon, 34141, Republic of Korea. Electronic address: jiyun@kaist.ac.kr.
Source: Analytica chimica acta [Anal Chim Acta] 2025 Aug 22; Vol. 1364, pp. 344191. Date of Electronic Publication: 2025 May 15.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0370534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4324 (Electronic) Linking ISSN: 00032670 NLM ISO Abbreviation: Anal Chim Acta Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4324
DOI:10.1016/j.aca.2025.344191