2021 年 20 巻 3 号 p. 100-102
Crossref Funder ID: http://dx.doi.org/10.13039/501100001691研究費・賞番号:
The simulation to obtain stress-strain curves of block copolymers requires large computational resources. As an alternative to simulation, a method for high-throughput prediction of stress-strain curves using a three-dimensional convolutional neural network has been reported. In this study, we incorporated shortcut coupling into the neural network and performed pre-training and transfer learning in a step-by-step manner to successfully predict the stress-strain curve with high accuracy while reducing the training cost.