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Possibility of using machine learning methods to reconstruct solid body parameters during laser-induced desorption analysis

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dc.contributor.authorStepanenko, A. A.
dc.contributor.authorKashin, D. A.
dc.contributor.authorGasparyan, Y. M.
dc.contributor.authorСтепаненко, Александр Александрович
dc.contributor.authorГаспарян, Юрий Микаэлович
dc.date.accessioned2024-12-27T11:12:43Z
dc.date.available2024-12-27T11:12:43Z
dc.date.issued2023
dc.identifier.citationStepanenko, A. A. Possibility of using machine learning methods to reconstruct solid body parameters during laser-induced desorption analysis / Stepanenko, A. A. , Kashin, D. A., Gasparyan, Y. M. // Physica Scripta. - 2023. - 98. - № 11. - 10.1088/1402-4896/ad0186
dc.identifier.doi10.1088/1402-4896/ad0186
dc.identifier.urihttps://www.doi.org/10.1088/1402-4896/ad0186
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85176234906&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/29408
dc.relation.ispartofPhysica Scripta
dc.subjectInterpolation (computer graphics)
dc.subjectMaterial Analysis
dc.subjectSecondary Ion Mass Spectrometry
dc.subjectSurface Analysis
dc.subjectSample (material)
dc.titlePossibility of using machine learning methods to reconstruct solid body parameters during laser-induced desorption analysis
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue11
oaire.citation.volume98
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