Výsledky vyhledávání - "Pavel A. Batyr"

Machine Learning with Enormous 'Synthetic' Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks

Autor: Igor V. Volgin, Pavel A. Batyr, Andrey V. Matseevich, Alexey Yu. Dobrovskiy, Maria V. Andreeva, Victor M. Nazarychev, Sergey V. Larin, Mikhail Ya. Goikhman, Yury V. Vizilter, Andrey A. Askadskii, Sergey V. Lyulin

Publikováno v: ACS omega. 7(48)

In the present work, we address the problem of utilizing machine learning (ML) methods to predict the thermal properties of polymers by establishing "structure-property" relationships. Having focused on a particular class of heterocyclic polymers, na

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c751ad54ec18afe5fa46ea1869bd927b
https://pubmed.ncbi.nlm.nih.gov/36506114

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