Strain and crystallographic identification of the helically concaved gap surfaces of chiral nanoparticles

Sungwook Choi, Sang Won Im, Ji-Hyeok Huh, Sungwon Kim, Jaeseung Kim, Yae-Chan Lim, Ryeong Myeong Kim, Jeong Hyun Han, Hyeohn Kim, Michael Sprung, Su Yong Lee, Wonsuk Cha, Ross Harder, Seungwoo Lee, Ki Tae Nam () and Hyunjung Kim ()
Additional contact information
Sungwook Choi: Sogang University
Sang Won Im: Seoul National University
Ji-Hyeok Huh: Korea University
Sungwon Kim: Sogang University
Jaeseung Kim: Sogang University
Yae-Chan Lim: Seoul National University
Ryeong Myeong Kim: Seoul National University
Jeong Hyun Han: Seoul National University
Hyeohn Kim: Seoul National University
Michael Sprung: Deutsches Elektronen-Synchrotron (DESY)
Su Yong Lee: Pohang Accelerator Laboratory, POSTECH
Wonsuk Cha: Argonne National Laboratory
Ross Harder: Argonne National Laboratory
Seungwoo Lee: Korea University
Ki Tae Nam: Seoul National University
Hyunjung Kim: Sogang University

Nature Communications, 2023, vol. 14, issue 1, 1-10

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-39255-1

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