Abstract

Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozen 2D materials have been successfully synthesized or exfoliated. Here, we search for 2D materials that can be easily exfoliated from their parent compounds. Starting from 108,423 unique, experimentally known 3D compounds, we identify a subset of 5,619 compounds that appear layered according to robust geometric and bonding criteria. High-throughput calculations using van der Waals density functional theory, validated against experimental structural data and calculated random phase approximation binding energies, further allowed the identification of 1,825 compounds that are either easily or potentially exfoliable. In particular, the subset of 1,036 easily exfoliable cases provides novel structural prototypes and simple ternary compounds as well as a large portfolio of materials to search from for optimal properties. For a subset of 258 compounds, we explore vibrational, electronic, magnetic and topological properties, identifying 56 ferromagnetic and antiferromagnetic systems, including half-metals and half-semiconductors.The largest available database of potentially exfoliable 2D materials has been obtained via high-throughput calculations using van der Waals density functional theory.

Keywords

van der Waals forceDensity functional theoryAntiferromagnetismExfoliation jointMaterials scienceFerromagnetismTernary operationThroughputStackingChemical physicsTopology (electrical circuits)Computational chemistryNanotechnologyComputer scienceGrapheneChemistryMoleculePhysicsCondensed matter physicsQuantum mechanicsMathematics

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Publication Info

Year
2018
Type
article
Volume
13
Issue
3
Pages
246-252
Citations
1731
Access
Closed

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1731
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Cite This

Nicolas Mounet, Marco Gibertini, Philippe Schwaller et al. (2018). Two-dimensional materials from high-throughput computational exfoliation of experimentally known compounds. Nature Nanotechnology , 13 (3) , 246-252. https://doi.org/10.1038/s41565-017-0035-5

Identifiers

DOI
10.1038/s41565-017-0035-5
PMID
29410499
arXiv
1611.05234

Data Quality

Data completeness: 84%