Department of Materials Science and Engineering, College of Engineering, Peking University, Beijing 100871, China.
Center for Applied Physics and Technology, Peking University, IFSA Collaborative Innovation Center, Key Laboratory of High Energy Density Physics Simulation, Ministry of Education, Beijing 100871, China.
Sci Rep. 2016 Jul 12;6:29531. doi: 10.1038/srep29531.
Currently, the available algorithms for unbiased structure searches are primarily atom-based, where atoms are manipulated as the elementary units, and energy is used as the target function without any restrictions on the bonding of atoms. In fact, in many cases such as nanostructure-assembled materials, the structural units are nanoclusters. We report a study of a bonding-restricted structure search method based on the particle swarm optimization (PSO) for finding the stable structures of two-dimensional (2D) materials containing dispersed C2 dimers rather than individual C atoms. The C2 dimer can be considered as a prototype of nanoclusters. Taking Si-C, B-C and Ti-C systems as test cases, our method combined with density functional theory and phonon calculations uncover new ground state geometrical structures for SiC2, Si2C2, BC2, B2C2, TiC2, and Ti2C2 sheets and their low-lying energy allotropes, as well as their electronic structures. Equally important, this method can be applied to other complex systems even containing f elements and other molecular dimers such as S2, N2, B2 and Si2, where the complex orbital orientations require extensive search for finding the optimal orientations to maximize the bonding with the dimers, predicting new 2D materials beyond MXenes (a family of transition metal carbides or nitrides) and dichalcogenide monolayers.
目前,无偏结构搜索的可用算法主要基于原子,其中原子被视为基本单元进行操作,能量被用作目标函数,而不对原子的键合施加任何限制。事实上,在许多情况下,如纳米结构组装材料,结构单元是纳米团簇。我们报告了一种基于粒子群优化(PSO)的键合受限结构搜索方法的研究,用于寻找含有分散 C2 二聚体而不是单个 C 原子的二维(2D)材料的稳定结构。C2 二聚体可以被视为纳米团簇的原型。我们以 Si-C、B-C 和 Ti-C 体系作为测试案例,将这种方法与密度泛函理论和声子计算相结合,揭示了 SiC2、Si2C2、BC2、B2C2、TiC2 和 Ti2C2 薄片及其低能同分异构体的新基态几何结构,以及它们的电子结构。同样重要的是,这种方法可以应用于其他复杂体系,甚至包含 f 元素和其他分子二聚体,如 S2、N2、B2 和 Si2,其中复杂的轨道取向需要进行广泛的搜索,以找到与二聚体最大化键合的最佳取向,从而预测超越 MXenes(过渡金属碳化物或氮化物家族)和二硫化物单层的新 2D 材料。