Gao, Tinghong https://orcid.org/0000-0002-6124-3546
Chen, Lei
Wang, Bei
Liu, Yutao
Ma, Yong
Liang, Yongchao https://orcid.org/0000-0003-3596-8620
Funding for this research was provided by:
Industry and Education Combination Innovation Platform of Intelligent Manufacturing and Graduate Joint Training Base at Guizhou University (Grant No. 2020-520000-83-01-324061)
National Natural Science Foundation of China (Grant Nos. 52262021)
Guizhou Engineering Research Center for smart services (Grant No. 2203-520102-04-04-298868)
High-level Creative Talent Training Program in Guizhou Province of China (Grant No. [2015]4015)
Guizhou Province Science and Technology Fund, China (Grant Nos. ZK[2021]051)
Article Title: Prediction of the mechanical properties of graphene/copper nanocomposites using machine learning and molecular dynamics simulations
Journal Title: Journal of Physics: Condensed Matter
Article Type: paper
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Publication dates
Date Received: 2025-02-13
Date Accepted: 2025-04-30
Online publication date: 2025-05-19