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• W2890131401 endingPage "19099" @default.
• W2890131401 startingPage "19092" @default.
• W2890131401 abstract "Several machine learning algorithms and artificial neural network structures are used to predict the interfacial thermal resistance between single layer graphene and hexagonal boron nitride with only the knowledge of the system temperature, inter-layer coupling strength, and in-plane tensile strain." @default.
• W2890131401 created "2018-09-27" @default.
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• W2890131401 date "2018-01-01" @default.
• W2890131401 modified "2023-10-16" @default.
• W2890131401 title "Machine learning and artificial neural network prediction of interfacial thermal resistance between graphene and hexagonal boron nitride" @default.
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• W2890131401 doi "https://doi.org/10.1039/c8nr05703f" @default.
• W2890131401 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30288513" @default.
• W2890131401 hasPublicationYear "2018" @default.
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