Journal article
An Adaptive Soft Plasmonic Nanosheet Resonator
Laser & photonics reviews, Vol.13(4), 1800302
04/2019
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Abstract
Current micro/nanomechanical system are usually based on rigid crystalline semiconductors that normally have high quality factors but lack adaptive responses to variable frequencies-a capability ubiquitous for communications in the biological world, such as bat and whale calls. Here, a soft mechanical resonator based on a freestanding organic-inorganic hybrid plasmonic superlattice nanosheet is demonstrated, which can respond adaptively to either incident light intensity or wavelength. This is achieved because of strong plasmonic coupling in closely packed nanocrystals which can efficiently concentrate and convert photons into heat. The heat causes the polymer matrix to expand, leading to a change in the nanomechanical properties of the plasmonic nanosheet. Notably, the adaptive frequency responses are also reversible and the responsive ranges are fine-tunable by adjusting the constituent nanocrystal building blocks. It is believed that the plasmonic nanosheets may open a new route to design next-generation intelligent bio-mimicking opto-mechanical resonance systems.
Details
- Title
- An Adaptive Soft Plasmonic Nanosheet Resonator
- Creators
- Xinghua Wang - Australian National UniversityTanju Yildirim - Shenzhen UniversityKae Jye Si - Monash UniversityAnkur Sharma - Australian National UniversityYunzhou Xue - Shenzhen UniversityQinghua Qin - Australian National UniversityQiaoliang Bao - Monash UniversityWenlong Cheng - Monash UniversityYuerui Lu - Australian National University
- Publication Details
- Laser & photonics reviews, Vol.13(4), 1800302
- Publisher
- Wiley
- Number of pages
- 8
- Grant note
- the ANU Ph.D. scholarship the China Research Council Ph.D. scholarship National Natural Science Foundation of China. Grant Number: 61775147 ARC. Grant Numbers: DE140100805, DP180103238 the ANU Major Equipment Committee. Grant Numbers: 17MEC25, 14MEC34 Shenzhen Nanshan District Pilotage Team Program. Grant Number: LHTD20170006
- Identifiers
- 991013160127002368
- Copyright
- © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article