A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles

Atomistic structure prediction of the metal-ligand interface of hybrid nanoparticles remains challenging. Here the authors present an algorithm to predict the structure of the metal-ligand interface of ligand-stabilized gold and silver nanoparticles, guided by experimental data on local chemical env...

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Main Authors: Sami Malola, Paavo Nieminen, Antti Pihlajamäki, Joonas Hämäläinen, Tommi Kärkkäinen, Hannu Häkkinen
Format: Article
Language:English
Published: Nature Portfolio 2019-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-12031-w
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author Sami Malola
Paavo Nieminen
Antti Pihlajamäki
Joonas Hämäläinen
Tommi Kärkkäinen
Hannu Häkkinen
author_facet Sami Malola
Paavo Nieminen
Antti Pihlajamäki
Joonas Hämäläinen
Tommi Kärkkäinen
Hannu Häkkinen
author_sort Sami Malola
collection DOAJ
description Atomistic structure prediction of the metal-ligand interface of hybrid nanoparticles remains challenging. Here the authors present an algorithm to predict the structure of the metal-ligand interface of ligand-stabilized gold and silver nanoparticles, guided by experimental data on local chemical environments.
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spelling doaj.art-1545ea91df1048f8ba81ab3314a4a8a42022-12-21T23:00:03ZengNature PortfolioNature Communications2041-17232019-09-0110111010.1038/s41467-019-12031-wA method for structure prediction of metal-ligand interfaces of hybrid nanoparticlesSami Malola0Paavo Nieminen1Antti Pihlajamäki2Joonas Hämäläinen3Tommi Kärkkäinen4Hannu Häkkinen5Department of Physics, Nanoscience Center, University of JyväskyläFaculty of Information Technology, University of JyväskyläDepartment of Physics, Nanoscience Center, University of JyväskyläFaculty of Information Technology, University of JyväskyläFaculty of Information Technology, University of JyväskyläDepartment of Physics, Nanoscience Center, University of JyväskyläAtomistic structure prediction of the metal-ligand interface of hybrid nanoparticles remains challenging. Here the authors present an algorithm to predict the structure of the metal-ligand interface of ligand-stabilized gold and silver nanoparticles, guided by experimental data on local chemical environments.https://doi.org/10.1038/s41467-019-12031-w
spellingShingle Sami Malola
Paavo Nieminen
Antti Pihlajamäki
Joonas Hämäläinen
Tommi Kärkkäinen
Hannu Häkkinen
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
Nature Communications
title A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
title_full A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
title_fullStr A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
title_full_unstemmed A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
title_short A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
title_sort method for structure prediction of metal ligand interfaces of hybrid nanoparticles
url https://doi.org/10.1038/s41467-019-12031-w
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