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Innovation and discovery of graphene‐like materials via density‐functional theory computations

Tang, Qing, Zhou, Zhen, Chen, Zhongfang·2015·WIREs Computational Molecular Science

Abstract

Inspired by the intensive studies of graphene, scientists have put extraordinary efforts in exploring properties and phenomena involving noncarbon graphene‐like two‐dimensional (2D) nanomaterials, particularly those only consisting of single layers or few layers. Experimentally, many graphene‐like 2D structures have been fabricated from a large variety of layered and nonlayered materials. These graphene‐like structures have already shown exceptional properties, which will offer new breakthroughs and innovative opportunities in nanomaterials science. Theoretically, density‐functional theory (DFT) computations offer a powerful tool to investigate the electronic structure (principally the ground state) of nanomaterials, to predict their intrinsic properties, assist in characterization, and rationalization of experimental findings, as well as explore their potential applications. By DFT computations, many graphene‐like materials have been explored and designed, and fantastic properties are disclosed. In this review, we present the recent computational progress in discovering the intrinsic structural, electronic, and magnetic properties of several important and representative graphene‐like 2D nanomaterials, as well as identifying their potential applications. The highlighted graphene‐like structures include layered van der Waals (vdW) materials (h‐BN, MoS 2, α‐MoO 3, and V 2 O 5), graphitic‐like ZnO, MXenes (metal carbides or carbonitrides), the not‐yet‐synthesized B 2 C, SiC 2, BSi 3, arsenene and antimonene, and single‐layer coordination polymers ([Cu 2 Br(IN)2]n (IN = isonicotinato), Fe‐phthalocyanine, and nickel bis(dithiolene)). WIREs Comput Mol Sci 2015, 5:360–379. doi: 10.1002/wcms.1224 This article is categorized under: Structure and Mechanism > Computational Materials Science

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Metadata

Authors
Tang, Q., Zhou, Z., & Chen, Z.
Venue
WIREs Computational Molecular Science
Publisher
Wiley
Published
2015-08-18
Volume
5
Issue
5
Pages
360-379
ISSN
  • 1759-0876 (ISSN-L)
  • 1759-0884
OpenAlex
W2136716129
Cited by
241
References
0
FWCI
16.52
Type
journal article
Language
en
Open access
closed

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Tang, Q., Zhou, Z., & Chen, Z. (2015). Innovation and discovery of graphene‐like materials via density‐functional theory computations. WIREs Computational Molecular Science. https://doi.org/10.1002/wcms.1224

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