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Correction: Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential
Jingli Han
a,
Rubén Cabelloc,
Jordi Bonet Ruizc,
Alexandra Elena Plesu Popescuc,
Sergi Dosta Parras*d,
Camila Barreneched and
Yongpeng Yang*b
aSchool of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China
bHenan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450052, PR China. E-mail: ypyang2017@zzu.edu.cn
cDepartment of Chemical Engineering and Analytical Chemistry, Faculty of Chemistry, University of Barcelona, Barcelona, 08028, Spain
dDepartment of Materials Science and Physical Chemistry, Faculty of Chemistry, University of Barcelona, Barcelona, 08028, Spain. E-mail: sdosta@ub.edu
First published on 5th December 2025
Abstract
Correction for ‘Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential’ by Jingli Han et al., Phys. Chem. Chem. Phys., 2025, 27, 17717–17729, https://doi.org/10.1039/D5CP02042E.
The authors regret that in the originating article, the affiliations of Yongpeng Yang and Jingli Han were incorrect. Their correct affiliation is Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450052, PR China, and School of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China, respectively.
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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