Understanding the deformability of 2D van der Waals materials from the perspective of chemical bonds

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Haoran Huang, Zhiqiang Gao, Ling Fu, Kunpeng Zhao, Jiawei Zhang, Tian-Ran Wei, Xun Shi
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Abstract

Exceptional room-temperature plastic deformability has been recently uncovered in a series of two-dimensional (2D) van der Waals (vdW) crystals, adding a new facet to these materials alongside the rich physical properties. Although several mechanisms have been proposed to interpret the deformation of specific materials, a deep and systematic understanding is still missing to rationalize and compare the deformability for a variety of vdW materials. In this work, focusing on typical hexagonal vdW crystals such as graphite, h-BN, transition metal dichalcogenides (TMDCs), and IIIA-VIA compounds, the deformation parameters (slip barrier energy, cleavage energy, elastic modulus) and bond features are calculated, and their correlations are systematically studied. Noticeably, there is a strong positive relation between cross-layer slip/cleavage energy, in-plane modulus, and the intralayer bond strength. The IIIA-VIA compounds (GaS, GaSe, InSe) are predicted to show a larger deformability factor, probably due to their weaker and softer chemical bonds. Moreover, it is anticipated that the deformability can be further modulated by constructing superlattice structures. These findings will facilitate the understanding and development of a variety of deformable 2D inorganic semiconductors as both few-layers and bulks.

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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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