Title :
Simulated Surface Enhanced Raman Spectroscopy via scattering on a dense, randomly-oriented, array of nanostructures
Author :
Baczewski, A.D. ; Shanker, B. ; Kempel, L.C. ; Hogan, T.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
This work proposes a set of stochastic experiments that aims to study the surface enhanced Raman spectroscopy (SERS) parameter space in silico. The experimental procedure is modeled as optical scattering on an array of randomly oriented nanoscale dielectric scatterers. A deterministic volume integral equation with a periodic kernel is developed and solved using the method of moments. A Monte Carlo method is also employed to sample solutions of this integral equation for randomly generated configurations of scatterers closely resembling actual SERS substrates. By utilizing these numerical methods, both far- and near-field observables are studied as a function of nanostructure density, alignment, and composition. Field distributions are also shown to represent the preliminary results.
Keywords :
Monte Carlo methods; dielectric materials; integral equations; nanostructured materials; stochastic processes; surface enhanced Raman scattering; Monte Carlo method; SERS substrates; dense nanostructures; far-field observables; field distributions; method of moments; nanoscale dielectric scatterers; nanostructure alignment; nanostructure array; nanostructure composition; nanostructure density; near-field observables; optical scattering; periodic kernel; randomly-oriented nanostructures; stochastic experiments; surface enhanced Raman spectroscopy; volume integral equation; Dielectric substrates; Integral equations; Kernel; Moment methods; Nanostructures; Optical arrays; Optical scattering; Raman scattering; Spectroscopy; Stochastic processes;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location :
Charleston, SC
Print_ISBN :
978-1-4244-3647-7
DOI :
10.1109/APS.2009.5171941