Identification and classification of disordered carbon materials in a composite matrix through machine learning approach integrated with Raman mapping

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dc.contributor.authorAlexander, R.
dc.contributor.authorKaushal, A.
dc.contributor.authorRao, P. T.
dc.contributor.authorPrakash, J.
dc.contributor.authorDasgupta, K.
dc.date.accessioned2025-03-20T07:26:23Z
dc.date.available2025-03-20T07:26:23Z
dc.date.issued2024
dc.description.divisionMG
dc.identifier.sourceDiamond and Related Materials, 2024. Vol. 142: pp. 1-10: Article no. 110741
dc.identifier.urihttps://dspacecris.ourlib.in/handle/123456789/27987
dc.subjectRaman spectroscopy
dc.subjectMachine learning
dc.subjectConvolutional neural network
dc.subjectDisordered carbon
dc.titleIdentification and classification of disordered carbon materials in a composite matrix through machine learning approach integrated with Raman mapping
dc.typeArticle

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