ArticleNature communications2023
Strain and crystallographic identification of the helically concaved gap surfaces of chiral nanoparticles.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Structural origin of hierarchical chirality in Pt@Au nanostructures with step-rich surfaces.Nature communications · 2026Article
- Enhancing resolution with the extended image restoration method: strain field energy and correlation length analysis in Bragg coherent X-ray diffraction imaging.Journal of synchrotron radiation · 2025Article
- Synthesis of chiral gold helicoid nanoparticles using glutathione.Nature protocols · 2025Review
- Chiral plasmonic nanostructures fabricated with circularly polarized light.Beilstein journal of nanotechnology · 2025Review
- Seed-Mediated Growth and Advanced Characterization of Chiral Gold Nanorods.Advanced materials (Deerfield Beach, Fla.) · 2024Article
- Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures.Advanced materials (Deerfield Beach, Fla.) · 2024Review
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Authors and funding
16 authors.
Funding
Abstract
Identifying the three-dimensional (3D) crystal plane and strain-field distributions of nanocrystals is essential for optical, catalytic, and electronic applications. However, it remains a challenge to image concave surfaces of nanoparticles. Here, we develop a methodology for visualizing the 3D information of chiral gold nanoparticles ≈ 200 nm in size with concave gap structures by Bragg coherent X-ray diffraction imaging. The distribution of the high-Miller-index planes constituting the concave chiral gap is precisely determined. The highly strained region adjacent to the chiral gaps is resolved, which was correlated to the 432-symmetric morphology of the nanoparticles and its corresponding plasmonic properties are numerically predicted from the atomically defined structures. This approach can serve as a comprehensive characterization platform for visualizing the 3D crystallographic and strain distributions of nanoparticles with a few hundred nanometers, especially for applications where structural complexity and local heterogeneity are major determinants, as exemplified in plasmonics.
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Registered trials
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