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Uncovering the Structural Evolution of Arsenene on SiC Substrate

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Author(s):
Okazaki, Anderson K. ; de Oliveira, Rafael Furlan ; Freire, Rafael Luiz Heleno ; Fazzio, Adalberto ; de Lima, Felipe Crasto
Total Authors: 5
Document type: Journal article
Source: Journal of Physical Chemistry C; v. 127, n. 16, p. 6-pg., 2023-04-13.
Abstract

Two-dimensional arsenic allotropes have been grown on metallic surfaces, while topological properties have been theoretically described on strained structures. Here, we experimentally grow arsenene by molecular beam epitaxy over the insulating SiC substrate. The arsenene presents a flat structure with a strain field that follows the SiC surface periodicity. Our ab initio simulations, based on the density functional theory, corroborate the experimental observation. The strained structure presents a new arsenene allotrope with a triangular structure, rather than the honeycomb previously predicted for other pnictogens. This strained structure presents a Peierls-like transition leading to an indirect gap semiconducting behavior. (AU)

FAPESP's process: 17/02317-2 - Interfaces in materials: electronic, magnetic, structural and transport properties
Grantee:Adalberto Fazzio
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 21/06238-5 - Functionalized solution-processed 2D materials: development of prototyping electric sensors and biosensors
Grantee:Rafael Furlan de Oliveira
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 19/14949-9 - EMU: multiuser infrastructure dedicated to nanofabrication and characterization of nanodevices at LNNano/CNPEM
Grantee:Edson Roberto Leite
Support Opportunities: Multi-user Equipment Program
FAPESP's process: 19/20857-0 - Two-dimensional materials and topological phases: prediction and control of its properties
Grantee:Felipe David Crasto de Lima
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 20/14067-3 - Two-Dimensional Nano-Heteroestructures: DFT Simulations and Machine Learning of Interacting Interfaces
Grantee:Rafael Luiz Heleno Freire
Support Opportunities: Scholarships in Brazil - Post-Doctoral