Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Coated nanoparticle composites for intrinsic optical bistability

Not Accessible

Your library or personal account may give you access

Abstract

We show that the threshold for intrinsic optical bistability can be greatly reduced by using structured nanoparticles that consist of a nonlinear dielectric core with a metallic coating. Previous calculations based on metallic particles relied on the nonlinear response of the metal particles.1 It has previously been shown that structured nanoparticles2 can obtain a much larger nonlinearity and figure of merit than the metal alone. The calculations we present are based on the greater flexibility allowed by using structured nanoparticles to (i) obtain a local field enhancement in the dielectric core which can consist of a polymer or semiconductor material with a large non-linearity, (ii) obtain the surface plasmon resonance effect and local field enhancement effect by the metallic shell, and (iii) a reduction of the effective metallic loss contribution as the shell thickness is reduced. As in previous studies, ellipsoidal particle shapes can be used to further optimize the local field enhancement.1 We report here results with a PDA polymer as a Kerr nonlinear medium in the core. The metallic shell consists of silver, gold, or aluminum, optimized for various frequency regions of interest. The switching threshold intensity can be reduced below 100 kW/cm2.

© 1989 Optical Society of America

PDF Article
More Like This
Intrinsic optical bistability of metal-coated semiconductor particles

J. W. Haus, N. Kalyaniwalla, R. Inguva, and M. H. Birnboim
FCC2 OSA Annual Meeting (FIO) 1990

Intrinsic optical bistability in a cavity

M. SCALORA, J. W. HAUS, and C. M. BOWDEN
WDD13 Quantum Electronics and Laser Science Conference (CLEO:FS) 1989

Transverse effects in intrinsic optical bistability

M. Scalora, J. W. Haus, and C. M. Bowden
THCC5 OSA Annual Meeting (FIO) 1989

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.