Formation of Twisted Copper Phosphide on Cu(111) Surface Predicted by Machine Learning Simulations

ABSTRACT The fundamental interactions at surfaces and interfaces dictate the thermodynamic and kinetic pathways in the epitaxial growth of two‐dimensional (2D) materials. The atomic‐scale evolution of phosphorus (P) on Cu(111) serves as a representative example of interfacial complexity, where dynamic reconstructions and competing chemical interactions obscure the underlying growth mechanisms. In this study, we combine a rigorously trained Cu–P machine learning force field with atomically resolved scanning tunneling microscopy to resolve the reaction of P on Cu(111) at atomic scale. Our results demonstrate that phosphorene is neither thermodynamically favorable nor kinetically accessible on Cu(111). Instead, strong Cu‐P bonding drives the substitutional incorporation of P into the topmost Cu layer, forming a twisted copper phosphide (Cu 2 P) surface alloy – a phase that thermodynamically competes phosphorene over the experimentally relevant coverage regime. Formation of this Cu 2 P layer generates interfacial strain that organizes into a straight reconstruction network and transforms into spiral configurations upon annealing. With increasing P coverage, three‐dimensional (3D) P islands, rather than flat phosphorene, are formed on Cu 2 P surface. These findings resolve a long‐standing controversy regarding P growth on Cu(111) and highlight the crucial role of interfacial interaction between the precursor and the substrate in 2D material growth.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-10-15
DOI
https://doi.org/10.1002/adfm.79093
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Formation of Twisted Copper Phosphide on Cu(111) Surface Predicted by Machine Learning Simulations

Tianchao Niu, Liang Ma, Wenzhen Dou, Xinran Wang et al.
Advanced Functional Materials
2D Materials and Applications
article

Formation of Twisted Copper Phosphide on Cu(111) Surface Predicted by Machine Learning Simulations

Tianchao Niu, Liang Ma, Wenzhen Dou, Xinran Wang, Feng Ding
article en

Abstract

ABSTRACT The fundamental interactions at surfaces and interfaces dictate the thermodynamic and kinetic pathways in the epitaxial growth of two‐dimensional (2D) materials. The atomic‐scale evolution of phosphorus (P) on Cu(111) serves as a representative example of interfacial complexity, where dynamic reconstructions and competing chemical interactions obscure the underlying growth mechanisms. In this study, we combine a rigorously trained Cu–P machine learning force field with atomically resolved scanning tunneling microscopy to resolve the reaction of P on Cu(111) at atomic scale. Our results demonstrate that phosphorene is neither thermodynamically favorable nor kinetically accessible on Cu(111). Instead, strong Cu‐P bonding drives the substitutional incorporation of P into the topmost Cu layer, forming a twisted copper phosphide (Cu 2 P) surface alloy – a phase that thermodynamically competes phosphorene over the experimentally relevant coverage regime. Formation of this Cu 2 P layer generates interfacial strain that organizes into a straight reconstruction network and transforms into spiral configurations upon annealing. With increasing P coverage, three‐dimensional (3D) P islands, rather than flat phosphorene, are formed on Cu 2 P surface. These findings resolve a long‐standing controversy regarding P growth on Cu(111) and highlight the crucial role of interfacial interaction between the precursor and the substrate in 2D material growth.

Advanced Functional Materials
Southeast University (CN), Beihang University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Science and Technology Major Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 28%
2D Materials and Applications
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