dc.contributor.author | Malola, Sami | |
dc.contributor.author | Häkkinen, Hannu | |
dc.date.accessioned | 2021-04-19T09:48:36Z | |
dc.date.available | 2021-04-19T09:48:36Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Malola, S., & Häkkinen, H. (2021). Prospects and challenges for computer simulations of monolayer-protected metal clusters. <i>Nature Communications</i>, <i>12</i>, Article 2197. <a href="https://doi.org/10.1038/s41467-021-22545-x" target="_blank">https://doi.org/10.1038/s41467-021-22545-x</a> | |
dc.identifier.other | CONVID_66498571 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/75113 | |
dc.description.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. | en |
dc.format.mimetype | application/pdf | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | Nature Publishing Group | |
dc.relation.ispartofseries | Nature Communications | |
dc.rights | CC BY 4.0 | |
dc.title | Prospects and challenges for computer simulations of monolayer-protected metal clusters | |
dc.type | journal article | |
dc.identifier.urn | URN:NBN:fi:jyu-202104192417 | |
dc.contributor.laitos | Fysiikan laitos | fi |
dc.contributor.laitos | Kemian laitos | fi |
dc.contributor.laitos | Department of Physics | en |
dc.contributor.laitos | Department of Chemistry | en |
dc.type.uri | http://purl.org/eprint/type/JournalItem | |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
dc.description.reviewstatus | nonPeerReviewed | |
dc.relation.issn | 2041-1723 | |
dc.relation.volume | 12 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © The Author(s) 2021 | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | article | |
dc.relation.grantnumber | 292352 | |
dc.relation.grantnumber | 315549 | |
dc.relation.grantnumber | 294217 | |
dc.relation.grantnumber | 319208 | |
dc.subject.yso | simulointi | |
dc.subject.yso | klusterit | |
dc.subject.yso | laskennallinen tiede | |
dc.subject.yso | nanohiukkaset | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p4787 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p18755 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p21978 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p23451 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.1038/s41467-021-22545-x | |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
jyx.fundingprogram | Research post as Academy Professor, AoF | en |
jyx.fundingprogram | Academy Programme, AoF | en |
jyx.fundingprogram | Research costs of Academy Professor, AoF | en |
jyx.fundingprogram | Research costs of Academy Professor, AoF | en |
jyx.fundingprogram | Akatemiaprofessorin tehtävä, SA | fi |
jyx.fundingprogram | Akatemiaohjelma, SA | fi |
jyx.fundingprogram | Akatemiaprofessorin tutkimuskulut, SA | fi |
jyx.fundingprogram | Akatemiaprofessorin tutkimuskulut, SA | fi |
jyx.fundinginformation | This research has been supported by the Academy of Finland (grants 292352, 294217, 315549,
319208). | |
dc.type.okm | B1 | |