Prospects and challenges for computer simulations of monolayer-protected metal clusters
Abstract
Precise knowledge of chemical composition and atomic structure of functional nanosized systems, such as metal clusters stabilized by an organic molecular layer, allows for detailed computational work to investigate structure-property relations. Here, we discuss selected recent examples of computational work that has advanced understanding of how these clusters work in catalysis, how they interact with biological systems, and how they can make self-assembled, macroscopic materials. A growing challenge is to develop effective new simulation methods that take into account the cluster-environment interactions. These new hybrid methods are likely to contain components from electronic structure theory combined with machine learning algorithms for accelerated evaluations of atom-atom interactions.
Main Authors
Format
Articles
Journal article
Published
2021
Series
Subjects
Publication in research information system
Publisher
Nature Publishing Group
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202104192417Use this for linking
Review status
Non-peer reviewed
ISSN
2041-1723
DOI
https://doi.org/10.1038/s41467-021-22545-x
Language
English
Published in
Nature Communications
Citation
- Malola, S., & Häkkinen, H. (2021). Prospects and challenges for computer simulations of monolayer-protected metal clusters. Nature Communications, 12, Article 2197. https://doi.org/10.1038/s41467-021-22545-x
Funder(s)
Research Council of Finland
Research Council of Finland
Research Council of Finland
Research Council of Finland
Funding program(s)
Research post as Academy Professor, AoF
Academy Programme, AoF
Research costs of Academy Professor, AoF
Research costs of Academy Professor, AoF
Akatemiaprofessorin tehtävä, SA
Akatemiaohjelma, SA
Akatemiaprofessorin tutkimuskulut, SA
Akatemiaprofessorin tutkimuskulut, SA

Additional information about funding
This research has been supported by the Academy of Finland (grants 292352, 294217, 315549,
319208).
Copyright© The Author(s) 2021