ArticleNature communications2019
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Photosynergetic ligand-exchange for modular synthesis of copper nanoclusters.Nature communications · 2026Article
- Smart Nanozymes for Cancer Therapy: The Next Frontier in Oncology.Advanced healthcare materials · 2023Review
- Exploring the Conformers of an Organic Molecule on a Metal Cluster with Bayesian Optimization.Journal of chemical information and modeling · 2023Article
- Article
- Three-dimensional atomic mapping of ligands on palladium nanoparticles by atom probe tomography.Nature communications · 2021Article
- Endosomal pH-Responsive Fe-Based Hyaluronate Nanoparticles for Doxorubicin Delivery.Molecules (Basel, Switzerland) · 2021Article
- Prospects and challenges for computer simulations of monolayer-protected metal clusters.Nature communications · 2021Article
- Ligand-protected gold/silver superatoms: current status and emerging trends.Chemical science · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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