Artificial Neural Network-Based Quantitative Analysis of Organic Electroluminescent (OEL) Sample Mass Spectra

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Bibliographic Details
Published inJournal of Surface Analysis Vol. 30; no. 3; p. 209
Main Authors Aoyagi, Satoka, Kiuchi, Yuzuki, Ishikawa, Kazutaka, Okamoto, Masayuki, Hayash, Daisuke, Murayama, Yohei
Format Journal Article
LanguageJapanese
Published Tokyo The Surface Analysis Society of Japan 2024
Surface Analysis Society of Japan
Subjects
Artificial neural networks
Mass spectra
Online AccessGet full text
ISSN1341-1756
1347-8400
1347-8400
DOI10.1384/jsa.30.209

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Author Murayama, Yohei
Kiuchi, Yuzuki
Okamoto, Masayuki
Aoyagi, Satoka
Hayash, Daisuke
Ishikawa, Kazutaka
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Cites_doi 10.1021/acs.jpcb.5b05625
10.1002/rcm.9445
10.1002/sia.6214
10.1116/1.5013219
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References [5]S. Aoyagi et al., Anal. Chem. (in press) https://doi.org/10. 1021/acs.analchem.3c03173.
[2]K. Takahashi, S. Aoyagi and T. Kawashima, Surf. Interface Anal. 49 , 721 (2017).
[3]S. Nakano, T. Yamagishi, S. Aoyagi, A. Porty, M. Durr, H. Iwai and T. Kawashima, Biointerphases 13, 03B403 (2018).
[4]S. Aoyagi and K. Matsuda, Rapid Commun. Mass Spectrom. 37[4], e9445 (2023).
[1]A. G. Shard, R. Havelund, S. J. Spencer, et al., J. Phys Chem B 119[33], 10784 (2015).
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2
3
4
5
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SubjectTerms Artificial neural networks
Mass spectra
Title Artificial Neural Network-Based Quantitative Analysis of Organic Electroluminescent (OEL) Sample Mass Spectra
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