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Dataset for SERS Plasmonic Array: Width, Spacing, and Thin Film Oxide Thickness Optimization

1
Microelectronics-Photonics Graduate Program, University of Arkansas, 731 W. Dickson St., Fayetteville, Arkansas, AR 72701, USA
2
Physics, Astronomy, and Materials Science Department, Missouri State University, 921 S. John Q Hammons Pkwy, Springfield, MO 65897, USA
3
Department of Physics, University of Arkansas, 825 W. Dickson St., Fayetteville, Arkansas, AR 72701, USA
4
Department of Physics, College of Science, AL-Nahrain University, Baghdad 10081, Iraq
5
R.B. Annis School of Engineering, University of Indianapolis, Indianapolis, IN 46227, USA
*
Author to whom correspondence should be addressed.
Received: 22 August 2018 / Revised: 7 September 2018 / Accepted: 18 September 2018 / Published: 19 September 2018
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Abstract

Surface-enhanced Raman spectroscopy (SERS) improves the scope and power of Raman spectroscopy by taking advantage of plasmonic nanostructures, which have the potential to enhance Raman signal strength by several orders of magnitude, which can allow for the detection of analyte molecules. The dataset presented provides results of a computational study that used a finite element method (FEM) to model gold nanowires on a silicon dioxide substrate. The survey calculated the surface average of optical surface enhancement due to plasmonic effects across the entire model and studied various geometric parameters regarding the width of the nanowires, spacing between the nanowires, and thickness of the silicon dioxide substrate. From this data, enhancement values were found to have a periodicity due to the thickness of the silicon dioxide. Additionally, strong plasmonic enhancement for smaller distances between nanowires were found, as expected; however, additional surface enhancement at greater gap distances were observed, which were not anticipated, possibly due to resonance with periodic dimensions and the frequency of the light. This data presentation will benefit future SERS studies by probing further into the computational and mathematical material presented previously. View Full-Text
Keywords: plasmonics; thin film; SERS; computational electromagnetics; nanowires; nano-optics; grating; array plasmonics; thin film; SERS; computational electromagnetics; nanowires; nano-optics; grating; array
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Klenke, C.M.; Brawley, Z.T.; Bauman, S.J.; Darweesh, A.A.; Debu, D.T.; Herzog, J.B. Dataset for SERS Plasmonic Array: Width, Spacing, and Thin Film Oxide Thickness Optimization. Data 2018, 3, 37.

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