Combined Experimental and Periodic DFT Study of the Size Dependence of Adsorption Properties of Oxide‐Supported Metal Nanoclusters: A Case of NO on Ni/Al<sub>2</sub>O<sub>3</sub>

ABSTRACT It is demonstrated by means of ultra high vacuum (UHV) surface‐sensitive techniques and periodic density functional theory (DFT) calculations that the electronic and NO− adsorption properties of nanosized Ni clusters deposited onto the α‐Al 2 O 3 (0001) surface significantly depend upon the size of the cluster. The properties of the Ni cluster of the size of 2 nm and lower are predominantly determined by the formation of the Ni/Al 2 O 3 interface bond notably polarized towards the oxide. As a result, the metal cluster acquires a net positive charge manifested by the bond strengthening of adsorbed NO compared to the bulk Ni substrate. With the increasing size of the cluster, the Ni/Al 2 O 3 interfacial bond depolarizes due to the growing of lateral Ni–Ni interaction. With a mean coverage of Ni on the alumina surface exceeding 0.25 equivalent monolayers, their properties in terms of adsorption behavior of NO resemble those that are characteristic for the bulk Ni substrate. Such a size dependence offers an opportunity to tune the properties of metal clusters and the metal/oxide system as a whole, for example, to achieve the required electronic and adsorption‐reaction properties.

Authors

Institutions

Publication Details

Journal
Surface and Interface Analysis
Published
2024-08-21
DOI
https://doi.org/10.1002/sia.7350
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combined Experimental and Periodic DFT Study of the Size Dependence of Adsorption Properties of Oxide‐Supported Metal Nanoclusters: A Case of NO on Ni/Al2O3

О. Г. Ашхотов, Reza Behjatmanesh‐Ardakani, Владимир Т. Абаев, Т. Т. Магкоев et al.
Surface and Interface Analysis
Catalytic Processes in Materials Science
article

Combined Experimental and Periodic DFT Study of the Size Dependence of Adsorption Properties of Oxide‐Supported Metal Nanoclusters: A Case of NO on Ni/Al2O3

О. Г. Ашхотов, Reza Behjatmanesh‐Ardakani, Владимир Т. Абаев, Т. Т. Магкоев, Mohammadreza Elahifard, Taymuraz T. Magkoev, Петракис Н. Чаликиди, Yong Men
article en

Abstract

ABSTRACT It is demonstrated by means of ultra high vacuum (UHV) surface‐sensitive techniques and periodic density functional theory (DFT) calculations that the electronic and NO− adsorption properties of nanosized Ni clusters deposited onto the α‐Al 2 O 3 (0001) surface significantly depend upon the size of the cluster. The properties of the Ni cluster of the size of 2 nm and lower are predominantly determined by the formation of the Ni/Al 2 O 3 interface bond notably polarized towards the oxide. As a result, the metal cluster acquires a net positive charge manifested by the bond strengthening of adsorbed NO compared to the bulk Ni substrate. With the increasing size of the cluster, the Ni/Al 2 O 3 interfacial bond depolarizes due to the growing of lateral Ni–Ni interaction. With a mean coverage of Ni on the alumina surface exceeding 0.25 equivalent monolayers, their properties in terms of adsorption behavior of NO resemble those that are characteristic for the bulk Ni substrate. Such a size dependence offers an opportunity to tune the properties of metal clusters and the metal/oxide system as a whole, for example, to achieve the required electronic and adsorption‐reaction properties.

Surface and Interface AnalysisVol. 56(12)
Shanghai University of Engineering Science (CN), North-Caucasus Federal University (RU), North Ossetian State University (RU), Kabardino-Balkarian State University (RU), Ardakan University, Desert Research Institute (US)
Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 92%
Catalytic Processes in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.