Nishio, Kento
Shibata, Kiyou
Mizoguchi, Teruyasu
Funding for this research was provided by:
Japan Society for the Promotion of Science (JP19H05787)
Japan Science and Technology Corporation (JP- MJCR1993)
Article Title: Lightweight and high-precision materials property prediction using pre-trained Graph Neural Networks and its application to a small dataset
Journal Title: Applied Physics Express
Article Type: paper
Copyright Information: © 2024 The Author(s). Published on behalf of The Japan Society of Applied Physics by IOP Publishing Ltd
Publication dates
Date Received: 2024-01-26
Date Accepted: 2024-02-15
Online publication date: 2024-03-06