RESEARCH ARTICLE · ACS Omega · 2022
Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks
Igor V. Volgin, Pavel A. Batyr, Andrey Matseevich, Alexey Yu. Dobrovskiy, Maria V. Andreeva, Victor M. Nazarychev, Sergey V. Larin, Mikhail Ya. Goikhman, Yury V. Vizilter, А.А. Аскадский, Sergey V. Lyulin
Read original paper ↗See where this research leads.
A citation map has not been saved for this paper yet.
The paper record is available below. Preparing a network uses the existing account and source-allowance controls.
Papers that cite this work
No saved citation network is available; this does not mean the paper has no citations.
