2018
DOI: 10.1021/acs.jpcc.7b12758
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Two-Dimensional Be2C with Octacoordinate Carbons and Negative Poisson’s Ratio

Abstract: In this work, we predicted three new two-dimensional (2D) Be 2 C structures, namely, α-Be 2 C, β-Be 2 C, and γ-Be 2 C, on the basis of density functional theory (DFT) computations and the particle-swarm optimization (PSO) method. In α-Be 2 C, a carbon atom binds to eight Be atoms, forming an octacoordinate carbon moiety. This is the first example of an octacoordinate carbon containing material. The other two structures, β-Be 2 C and γ-Be 2 C, are quasi planar hexacoordinate carbon (phC) containing 2D materials… Show more

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Cited by 27 publications
(17 citation statements)
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References 75 publications
(103 reference statements)
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“…The mechanical parameters including the Young's modulus and Poisson's ratio of the MX monolayers calculated from first-principles calculations are presented in Table II. The elastic constants satisfy the mechanical stability criteria 39 and 2 11 22 12…”
Section: Resultsmentioning
confidence: 99%
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“…The mechanical parameters including the Young's modulus and Poisson's ratio of the MX monolayers calculated from first-principles calculations are presented in Table II. The elastic constants satisfy the mechanical stability criteria 39 and 2 11 22 12…”
Section: Resultsmentioning
confidence: 99%
“…17 After the first realization of 2D auxetic effects in graphene with thermally-induced ripples, 18 a number of 2D materials have been reported to have NPR. [19][20][21][22][23][24][25][26][27][28][29][30] For example, monolayer black phosphorene with a buckled structure was predicted to have NPR of about -0.027 which has been confirmed in experiments. 11,19 Generally, the auxetic behaviors of 2D materials are correlated to the geometric structures, the deformation mechanisms of the materials dominated by the inter-atomic interaction.…”
Section: Introductionmentioning
confidence: 95%
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“…而将性能因素添加 到全局搜索结构中的作法有可能会增加搜索的复杂 度. 对于低维材料预测, 特别是二维材料, 厚度、原子 数目、衬底的选择等因素, 都有可能影响搜索的结 果 [38,50,51] . 近年来, 借助包括全局结构搜索、机器学 习 [52] 等在内的自动化的、高效的算法与工具, 可以在 一定程度上提高结构预测的效率.…”
Section: 此外 针对材料的其他性能 如带隙、硬度与电子unclassified
“…In general, NPR is induced by some specific microstructure morphologies, including re-entrant structure 9,12 , polymetric structure 1,10 , chiral structure 11 , star-shape structure 11 , and so on. Very recently, two-dimensional (2D) crystalline auxetic materials have attracted great attention, and auxetic effects have been reported in various existing or predicted 2D materials [13][14][15][16][17][18][19][20] . In most of the predicted auxetic 2D materials, the NPR is due to pure geometric effect.…”
Section: Introductionmentioning
confidence: 99%