S
Sukanya Randhawa
Researcher at IBM
Publications - 20
Citations - 280
Sukanya Randhawa is an academic researcher from IBM. The author has contributed to research in topics: Plasmon & Surface plasmon polariton. The author has an hindex of 7, co-authored 20 publications receiving 246 citations. Previous affiliations of Sukanya Randhawa include Foton Motor.
Papers
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Journal ArticleDOI
Design and properties of dielectric surface plasmon Bragg mirrors.
TL;DR: The ability of gratings made of dielectric ridges placed on top of flat metal layers to open gaps in the dispersion relation of surface plasmon polaritons (SPPs) is studied, both experimentally and theoretically.
Journal ArticleDOI
Performance of electro-optical plasmonic ring resonators at telecom wavelengths
Sukanya Randhawa,Sébastien Lachèze,Jan Renger,Alexandre Bouhelier,Roch Espiau de Lamaestre,Alain Dereux,Romain Quidant +6 more
TL;DR: It is concluded that electrostriction of the host matrix is playing a dominating role in the transmission response and a 16% relative change of transmission upon application of a controlled electric field.
Journal ArticleDOI
Experimental demonstration of dielectric-loaded plasmonic waveguide disk resonators at telecom wavelengths
Sukanya Randhawa,Alexey V. Krasavin,Tobias Holmgaard,Jan Renger,Sergey I. Bozhevolnyi,Anatoly V. Zayats,Romain Quidant +6 more
TL;DR: In this paper, a dielectric-loaded plasmonic waveguide disk resonators (WDRs) operating at telecom wavelengths are investigated and the gap between the disk and the waveguide is varied from 0 to 300 nm.
Journal ArticleDOI
Optically-programmable nonlinear photonic component for dielectric-loaded plasmonic circuitry.
Alexey V. Krasavin,Sukanya Randhawa,J. S. Bouillard,Jan Renger,Romain Quidant,Anatoly V. Zayats +5 more
TL;DR: This work demonstrates both experimentally and numerically a compact and efficient, optically tuneable plasmonic component utilizing a surface plAsmon polariton ring resonator with nonlinearity based on trans-cis isomerization in a polymer material.
Proceedings ArticleDOI
Machine Learning Methodologies for Paddy Yield Estimation in India: a Case Study
TL;DR: A case study of weather and soil data based yield estimation modeling for paddy crop at different spatial resolution (SR) levels, namely, at the district (coarser SR) and taluk (finer SR) levels in India is presented.