1. Dataset of energetically accessible structures of MgCl2/TiCl4 clusters for Ziegler-Natta catalysts
- Author
-
Gentoku Takasao, Toshiaki Taniike, Toru Wada, Ashutosh Thakur, Minoru Terano, and Patchanee Chammingkwan
- Subjects
Materials science ,Ziegler-Natta catalyst ,Natta ,lcsh:Computer applications to medicine. Medical informatics ,Energy minimization ,Catalysis ,03 medical and health sciences ,0302 clinical medicine ,TiCl4 ,Ziegler–Natta catalyst ,lcsh:Science (General) ,Structure determination ,030304 developmental biology ,Data Article ,0303 health sciences ,Multidisciplinary ,biology ,biology.organism_classification ,Structural distribution ,Genetic algorithm ,Chemical physics ,Density functional theory ,lcsh:R858-859.7 ,MgCl2 ,030217 neurology & neurosurgery ,lcsh:Q1-390 - Abstract
This data article provides a dataset of the energetically accessible structures including the most stable structures of xMgCl2/yTiCl4 nanoplates (x = 6–19, y = 0–4). TiCl4-capped MgCl2 nanoplates are regarded as the building block of the Ziegler–Natta catalyst. The most stable structures were determined for MgCl2/TiCl4 nanoplates of different sizes and chemical compositions using a combination of the genetic algorithm and the DFT geometry optimization. The evolution in the genetic algorithm produced a number of meta-stable structures. A set of isomeric structures having similar energy to the most stable structure (termed energetically accessible structures) are provided as realistic models of MgCl2/TiCl4 nanoplates. These structures are useful for further investigation on the structural distribution of Ti species on MgCl2 regarding the Ziegler-Natta catalyst.
- Published
- 2020