dc.contributor.author | Malola, Sami | |
dc.contributor.author | Nieminen, Paavo | |
dc.contributor.author | Pihlajamäki, Antti | |
dc.contributor.author | Hämäläinen, Joonas | |
dc.contributor.author | Kärkkäinen, Tommi | |
dc.contributor.author | Häkkinen, Hannu | |
dc.date.accessioned | 2019-09-09T05:49:11Z | |
dc.date.available | 2019-09-09T05:49:11Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Malola, S., Nieminen, P., Pihlajamäki, A., Hämäläinen, J., Kärkkäinen, T., & Häkkinen, H. (2019). A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles. <i>Nature Communications</i>, <i>10</i>, Article 3973. <a href="https://doi.org/10.1038/s41467-019-12031-w" target="_blank">https://doi.org/10.1038/s41467-019-12031-w</a> | |
dc.identifier.other | CONVID_32731230 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/65458 | |
dc.description.abstract | Hybrid metal nanoparticles, consisting of a nano-crystalline metal core and a protecting shell of organic ligand molecules, have applications in diverse areas such as biolabeling, catalysis, nanomedicine, and solar energy. Despite a rapidly growing database of experimentally determined atom-precise nanoparticle structures and their properties, there has been no successful, systematic way to predict the atomistic structure of the metal-ligand interface. Here, we devise and validate a general method to predict the structure of the metal-ligand interface of ligand-stabilized gold and silver nanoparticles, based on information about local chemical environments of atoms in experimental data. In addition to predicting realistic interface structures, our method is useful for investigations on the steric effects at the metal-ligand interface, as well as for predicting isomers and intermediate structures induced by thermal dynamics or interactions with the environment. Our method is applicable to other hybrid nanomaterials once a suitable set of reference structures is available. | 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 | A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201909094057 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Fysiikan laitos | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.laitos | Department of Physics | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Nanoscience Center | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.contributor.oppiaine | Nanoscience Center | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.relation.issn | 2041-1723 | |
dc.relation.volume | 10 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © The Authors, 2019 | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.grantnumber | 315549 | |
dc.relation.grantnumber | 311877 | |
dc.relation.grantnumber | 315550 | |
dc.subject.yso | nanohiukkaset | |
dc.subject.yso | laskennallinen kemia | |
dc.subject.yso | ligandit | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p23451 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p23053 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p24741 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.1038/s41467-019-12031-w | |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
jyx.fundingprogram | Akatemiaohjelma, SA | fi |
jyx.fundingprogram | Profilointi, SA | fi |
jyx.fundingprogram | Akatemiaohjelma, SA | fi |
jyx.fundingprogram | Academy Programme, AoF | en |
jyx.fundingprogram | Research profiles, AoF | en |
jyx.fundingprogram | Academy Programme, AoF | en |
jyx.fundinginformation | This work was supported by Academy of Finland through the AIPSE research program, grants 315549 (H.H.), 315550 (T.K.) and 311877 (T.K.), and through H.H.’s Academy Professorship. The computations were done at the Nanoscience Center (NSC) of University of Jyväskylä, at the CSC supercomputing center in Finland and as part of a
PRACE project in the Barcelona Supercomputing Center. | |
dc.type.okm | A1 | |