JOURNAL ARTICLE
Structure, electronic and magnetic properties of the Al12N12 clusters encapsulated with transition metals.
Published In: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2024, v. 38, n. 30. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Li, Zhi; Zhao, Zhen 3 of 3
Abstract
The metal-doped aluminum nitrides have attracted special attention as new technology-related materials owing to their combination of fullerene-like and metallic properties. The structure, electronic and magnetic properties of the TM@Al 1 2 N 1 2 clusters have been investigated by using first principles. The results indicate that the V@Al 1 2 N 1 2 , Ni@Al 1 2 N 1 2 , Zr@Al 1 2 N 1 2 , Rh@Al 1 2 N 1 2 , Ta@Al 1 2 N 1 2 and Pt@Al 1 2 N 1 2 clusters display more structural stability than their neighbors. The Sc@Al 1 2 N 1 2 , V@Al 1 2 N 1 2 , Mn@Al 1 2 N 1 2 , Zn@Al 1 2 N 1 2 , Y@Al 1 2 N 1 2 , Nb@Al 1 2 N 1 2 , Tc@Al 1 2 N 1 2 , Ag@Al 1 2 N 1 2 , Lu@Al 1 2 N 1 2 , W@Al 1 2 N 1 2 and Hg@Al 1 2 N 1 2 clusters are more dynamically stable than their neighbors. The amount of charge transfer between the TM (TM=Ti, Y and Os) atoms and Al 1 2 N 1 2 clusters is the most. The maximum spin densities (3.025 | e | , 2.779 | e | and 3.231 | e |) of the TM@Al 1 2 N 1 2 clusters occur at the subgroup VIIB TM@Al 1 2 N 1 2 clusters. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 2024/12, Vol. 38, Issue 30, p1
- Document Type:Article
- Subject Area:Chemistry
- Publication Date:2024
- ISSN:0217-9792
- DOI:10.1142/S0217979224504137
- Accession Number:179551527
- Copyright Statement:Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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