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

Jingli Han1, Rubén Cabello2, Jordi Bonet Ruiz2

  • 1School of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China.

Physical Chemistry Chemical Physics : PCCP
|December 6, 2025
PubMed
Summary

This study corrects a theoretical analysis of large-scale graphene growth on copper surfaces. Machine learning potentials were refined to improve the accuracy of simulating graphene formation on Cu(111).

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