Theoretical Study of the Structure and Stability of Layerwise Hydrogenated Aluminum Clusters Al44Hn and Al89Hm


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

Structural parameters, energies, and spectroscopic characteristics of two series of layerwise hydrogenated aluminum clusters Al44Hn (n = 27–44) and Al89Hm (m = 15, 24, 39, and 63) have been calculated by the density functional theory method. It has been shown that increasing number of H atoms in both series entails rapid enhancement of structural distortions up to cooperative rearrangements accompanied by a change in the shape and composition of the surface layer and internal core of the cluster. At the end of the first series Al44Hn, several surface atoms migrate to the outer sphere of the cage to form valence-unsaturated “outer-surface” AlHn and Al2Hn moieties, which can be active sites at the stages of deeper hydrogenation. Simultaneously, the inner core [Al]5 disintegrates, and its atoms are introduced into the surface layer. A family of “inverted” Al42H42 isomers with the hollow [Al42] cage has been localized; the isomers contain the endohedral AlH4 group and “inner” Al-H bonds with their hydrogen end directed to the center of the inner cavity. At the end of the second series, five alanate groups AlH4 and two Al3H2 fragments bonded to the surface through hydrogen bridges are formed in the outer sphere of the \(\rm{Al}_{89}H_{63}^-\) cluster. The results are of interest for DFT modeling of hydrogenation of nanosized aluminum clusters at the molecular level.

Об авторах

O. Charkin

Institute of Problems of Chemical Physics

Автор, ответственный за переписку.
Email: charkin@icp.ac.ru
Россия, Chernogolovka, Moscow oblast, 142432

N. Klimenko

Lomonosov Moscow State Technological University

Email: charkin@icp.ac.ru
Россия, Moscow, 119571

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Pleiades Publishing, Ltd., 2019

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).