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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
Plasmonic percolation: Plasmon-manifested dielectric-to-metal transition
ACS Nano, Volume 6, No. 8, Year 2012
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Description
Percolation generally refers to the phenomenon of abrupt variations in electrical, magnetic, or optical properties caused by gradual volume fraction changes of one component across a threshold in bicomponent systems. Percolation behaviors have usually been observed in macroscopic systems, with most studies devoted to electrical percolation. We report on our observation of plasmonic percolation in Au nanorod core-Pd shell nanostructures. When the Pd volume fraction in the shell consisting of palladium and water approaches the plasmonic percolation threshold, ∼70%, the plasmon of the nanostructure transits from red to blue shifts with respect to that of the unshelled Au nanorod. This plasmonic percolation behavior is also confirmed by the scattering measurements on the individual core-shell nanostructures. Quasistatic theory and numerical simulations show that the plasmonic percolation originates from a positive-to-negative transition in the real part of the dielectric function of the shell as the Pd volume fraction is increased. The observed plasmonic percolation is found to be independent of the metal type in the shell. Moreover, compared to the unshelled Au nanorods with similar plasmon wavelengths, the Au nanorod core-Pd shell nanostructures exhibit larger refractive index sensitivities, which is ascribed to the expulsion of the electric field intensity from the Au nanorod core by the adsorbed Pd nanoparticles. © 2012 American Chemical Society.
Authors & Co-Authors
Chen, Huanjun
Hong Kong, Hong Kong
Chinese University of Hong Kong
Wang, Feng
Hong Kong, Hong Kong
Chinese University of Hong Kong
China, Beijing
Peking University
Li, Kun
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Woo, Kat Choi
Hong Kong, Hong Kong
Chinese University of Hong Kong
Wang, Jianfang
Hong Kong, Hong Kong
Chinese University of Hong Kong
Li, Quan
Hong Kong, Hong Kong
Chinese University of Hong Kong
Sun, Ling Dong
China, Beijing
Peking University
Zhang, Xixiang
Saudi Arabia, Thuwal
King Abdullah University of Science and Technology
Lin, Hai Qing
Hong Kong, Hong Kong
Chinese University of Hong Kong
China, Beijing
Beijing Computational Science Research Center
Yan, Chun Hua
China, Beijing
Peking University
Statistics
Citations: 83
Authors: 10
Affiliations: 4
Identifiers
Doi:
10.1021/nn302220y
ISSN:
19360851
e-ISSN:
1936086X
Research Areas
Environmental