Xu, Yihua
Shi, Qiao
Zhou, Ziyue
Xu, Ke
Lin, Yanwen
Li, Yang
Zhang, Zhisen https://orcid.org/0000-0002-8638-0993
Wu, Jianyang https://orcid.org/0000-0002-9094-4835
Funding for this research was provided by:
National Natural Science Foundation of China (Grant Nos. 12172314)
Fundamental Research Funds for the Central Universities (Grant No. 20720210025)
Key Project of Natural Science Basic Program of Shaanxi Province of China (2021JZ-56)
Jiangxi Provincial Outstanding Young Talents Program (Grant No. 20192BCBL23029)
Article Title: Machine learning assisted insights into the mechanical strength of nanocrystalline graphene oxide
Journal Title: 2D Materials
Article Type: paper
Copyright Information: © 2022 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2022-01-13
Date Accepted: 2022-04-01
Online publication date: 2022-04-12