AUTHOR=Zeng Lu , Wei Xiao-Fan , Liang Mei-Kun , Zhao Jun , Zhu BenChao TITLE=Probing on the Stable Structure of Silicon-Doped Charged Magnesium Nanomaterial Sensor: SiMgn±1 (N = 2−12) Clusters DFT Study JOURNAL=Frontiers in Materials VOLUME=7 YEAR=2020 URL=https://www.frontiersin.org/journals/materials/articles/10.3389/fmats.2020.00221 DOI=10.3389/fmats.2020.00221 ISSN=2296-8016 ABSTRACT=

The stable structures of silicon-doped charged magnesium nanomaterial sensor, SiMgn±1 (n = 2−12) clusters, were systematically investigated using the CALYPSO approach coupled with the density functional theory (DFT). The growth mechanism of SiMgn±1 (n = 2−12) nanosensors shows that the tetrahedral and tower-like structures are two basic structures, and almost all other clusters’ geometries are based on their variants. Most importantly, the fascinating SiMg8–1 and SiMg8+1 clusters are obtained through stability calculations of all the lowest energy state of clusters. These two clusters show the strongest local stability and thus can be served as reliable candidates for experimentally fabricated silicon-doped magnesium nanosensor. Electronic structural properties and chemical bonding analysis are also adopted to further study the stability of SiMg8–1 and SiMg8+1 nanosensors. The theoretical calculations of infrared (IR) and Raman spectra of SiMg−1 8and SiMg+1 8clusters show that their strongest spectral frequencies are distributed in the range of 80−240 cm–1. We believe that our studies will stimulate future synthesis of silicon-doped magnesium in IoT nanosensors.