Correction: Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential

Jingli Han; Rubén Cabello; Jordi Bonet Ruiz; Alexandra Elena Plesu Popescu; Sergi Dosta Parras; Camila Barreneche; Yongpeng Yang

doi:10.1039/D5CP90209F

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Correction: Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential

Jingli Han,

^a Rubén Cabello,

^c Jordi Bonet Ruiz,

^c Alexandra Elena Plesu Popescu,

^c Sergi Dosta Parras,

*^d Camila Barreneche

^d and Yongpeng Yang

*^b

Author affiliations

* Corresponding authors

^a School of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China

^b Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450052, PR China
E-mail: ypyang2017@zzu.edu.cn

^c Department of Chemical Engineering and Analytical Chemistry, Faculty of Chemistry, University of Barcelona, Barcelona, Spain

^d Department of Materials Science and Physical Chemistry, Faculty of Chemistry, University of Barcelona, Barcelona, Spain
E-mail: sdosta@ub.edu

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.

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Theoretical study of large-scale graphene on the Cu(111) surface using machine l…

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DOI: https://doi.org/10.1039/D5CP90209F
Article type: Correction
Submitted: 11 Nov 2025
Accepted: 11 Nov 2025
First published: 05 Dec 2025
This article is Open Access

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Phys. Chem. Chem. Phys., 2026, Advance Article

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Correction: Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential

J. Han, R. Cabello, J. B. Ruiz, A. E. P. Popescu, S. D. Parras, C. Barreneche and Y. Yang, Phys. Chem. Chem. Phys., 2026, Advance Article , DOI: 10.1039/D5CP90209F

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Physical Chemistry Chemical Physics

Correction: Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential

Abstract

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Correction: Theoretical study of large-scale graphene on the Cu(111) surface using machine learning potential

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