Academic Thesis

Basic information

Name Mitsumi Minoru
Belonging department
Occupation name
researchmap researcher code 5000022891
researchmap agency Okayama University of Science

Title

Detailed magnetic analysis and successful deep-neural-network- based conformational prediction for [VO(dmso)5][BPh4]2

Bibliography Type

Author

Hiroshi Sakiyama,* Takaaki Abiko, Kosuke Yoshida, Kaoru Shomura, Ryoji Mitsuhashi, Yoshiki Koyama, Masahiro Mikuriya, Masayuki Koikawa, and Minoru Mitsumi

Summary

Pentakis(dimethylsulfoxide-κO)oxidovanadium(IV) bis(tetraphenylborate), [VO(dmso)5][BPh4]2 (dmso: dimethylsulfoxide), was synthesized, and its pseudo-C4 VO6 coordination geometry was revealed by a single-crystal X-ray method. A novel equation set was obtained for magnetic susceptibility and magnetization of the d1 complexes, considering the axial distortion and the spin–orbit coupling for the 2D free-ion term. The equation set enabled magnetic simulation for significantly symmetry-lowered d1 complexes to obtain the anisotropic g-values and also the excitation energies. In addition, conformational prediction was conducted, using the enumeration results on the basis of the group theory. The dominant conformers were predicted on the basis of the density functional theory (DFT) method, and especially, the conformer in the crystal was successfully predicted by a deep neural network method.

Magazine(name)

RSC Adv.

Publisher

Volume

10

Number Of Pages

StartingPage

9678

EndingPage

9685

Date of Issue

2020/03

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

DOI

doi.org/10.1039/D0RA00854K

NAID

PMID

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID