Machine Learning with Enormous "Synthetic" Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks
利用海量“合成”数据集进行机器学习：使用图卷积神经网络预测聚酰亚胺的玻璃化转变温度
期刊:ACS Omega
影响因子:4.3
doi:10.1021/acsomega.2c04649
Volgin, Igor V; Batyr, Pavel A; Matseevich, Andrey V; Dobrovskiy, Alexey Yu; Andreeva, Maria V; Nazarychev, Victor M; Larin, Sergey V; Goikhman, Mikhail Ya; Vizilter, Yury V; Askadskii, Andrey A; Lyulin, Sergey V
