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Automation of etch pit analyses on solid-state nuclear track detectors with machine learning for laser-driven ion acceleration.

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Title: Automation of etch pit analyses on solid-state nuclear track detectors with machine learning for laser-driven ion acceleration.
Authors: Taguchi, T.1, tomoya.taguchi@eie.eng.osaka-u.ac.jp, Minami, T.1,2, Hihara, T.1, Nikaido, F.1, Asai, T.2,3, Sakai, K.1,4, Abe, Y.1,5, Yogo, A.5, Arikawa, Y.5, Kohri, H.6, Tokiyasu, A. O.7, Chu, C. M.8, Woon, W. Y.8, Kodaira, S.9, Kanasaki, M.3, Fukuda, Y.2, Kuramitsu, Y.1,5, kuramitsu@eei.eng.osaka-u.ac.jp
Source: Review of Scientific Instruments; 3/1/2024, Vol. 95 Issue 3, p1-8, 8p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176342780
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Review+of+Scientific+Instruments%22">Review of Scientific Instruments</searchLink>; 3/1/2024, Vol. 95 Issue 3, p1-8, 8p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176342780
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        Value: 10.1063/5.0172202
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        Text: English
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              Text: 3/1/2024
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              Y: 2024
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