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阐明石墨烯炔上束缚的稀有气体团簇构型:一种元启发式方法。

Elucidation of Noble Gas Cluster Configurations Bound on Graphdiyne: A Metaheuristic Approach.

作者信息

John Chris, Rajeevan Megha, Swathi Rotti Srinivasamurthy

机构信息

School of Chemistry, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM), Thiruvananthapuram, India.

出版信息

Chem Asian J. 2022 Sep 14;17(18):e202200625. doi: 10.1002/asia.202200625. Epub 2022 Aug 17.

Abstract

Graphynes are a class of all-carbon two-dimensional membranes that have been intensely researched for various membrane-based technologies on account of their unique pore architectures. Herein, we report an investigation of the mechanism and energetics of adsorption of noble gases (He, Ne and Ar) on graphdiyne (GDY), the most popular form of graphynes. Two global optimization techniques, namely particle swarm optimization (PSO) and differential evolution are employed to predict the putative global minima configurations of rare gas clusters in the size range 1-30 when adsorbed on GDY. We use the 12-6 Lennard-Jones potential to represent the pairwise non-covalent interactions between various interacting atoms. Initially, the gas atoms adsorb as monolayers on GDY at the centers of the triangular pores until all the triangular pores are filled. This is followed by a second layer formation on top of the hexagonal pore centers or on top of the C-C bonds. The findings from the empirical approach are further validated by performing density functional theory calculations on the predicted adsorbed cluster configurations. We have also looked into the adsorption of noble gas clusters on bilayer GDY systems and have found that the intercalation of gas atoms within the bilayers is feasible. Our study suggests that the stochastic nature of the swarm intelligence technique, PSO can assist in an effective search of the potential energy surfaces for the global minima, eventually enabling large-scale simulations.

摘要

石墨炔是一类全碳二维膜,由于其独特的孔结构,已被广泛研究用于各种基于膜的技术。在此,我们报告了对稀有气体(氦、氖和氩)在最常见的石墨炔形式——石墨二炔(GDY)上的吸附机理和能量学的研究。采用两种全局优化技术,即粒子群优化(PSO)和差分进化,来预测吸附在GDY上尺寸范围为1 - 30的稀有气体团簇的假定全局最小构型。我们使用12 - 6 Lennard - Jones势来表示各种相互作用原子之间的成对非共价相互作用。最初,气体原子以单层形式吸附在GDY的三角形孔中心,直到所有三角形孔都被填满。随后,在六边形孔中心顶部或C - C键顶部形成第二层。通过对预测的吸附团簇构型进行密度泛函理论计算,进一步验证了经验方法的结果。我们还研究了稀有气体团簇在双层GDY系统上的吸附,发现气体原子在双层内的嵌入是可行的。我们的研究表明,粒子群优化这种群体智能技术的随机性可以帮助有效地搜索势能面以找到全局最小值,最终实现大规模模拟。

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