scholarly journals Harmonic generation in metal-insulator and metal-insulator-metal nanostructures

2019 ◽  
Vol 125 (10) ◽  
pp. 105302
Author(s):  
M. M. R. Hussain ◽  
I. Agha ◽  
Z. Gao ◽  
D. de Ceglia ◽  
M. A. Vincenti ◽  
...  
Keyword(s):  
Harmonic Generation ◽  
Metal Nanostructures ◽  
Metal Insulator ◽  
Metal Insulator Metal

Enhanced Harmonic Generation in Metal-Insulator-Metal Nanostructures

2018 ◽  
Author(s):  
Mallik M. R. Hussain ◽  
Zhengning Gao ◽  
Domenico de Ceglia ◽  
Maria A. Vincenti ◽  
Andrew Sarangan ◽  
...  
Keyword(s):  
Harmonic Generation ◽  
Metal Nanostructures ◽  
Metal Insulator ◽  
Metal Insulator Metal

scholarly journals Improved Refractive Index-Sensing Performance of Multimode Fano-Resonance-Based Metal-Insulator-Metal Nanostructures

Nanomaterials ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 2097
Author(s):  
Yuan-Fong Chou Chau ◽  
Chung-Ting Chou Chao ◽  
Siti Zubaidah Binti Haji Jumat ◽  
Muhammad Raziq Rahimi Kooh ◽  
Roshan Thotagamuge ◽  
...  
Keyword(s):  
Refractive Index ◽  
Plasmon Resonance ◽  
Fano Resonance ◽  
High Sensitivity ◽  
Metal Nanostructures ◽  
Refractive Index Sensor ◽  
Metal Insulator ◽  
Wide Range ◽  
Metal Insulator Metal ◽  
Mode 2

This work proposed a multiple mode Fano resonance-based refractive index sensor with high sensitivity that is a rarely investigated structure. The designed device consists of a metal–insulator–metal (MIM) waveguide with two rectangular stubs side-coupled with an elliptical resonator embedded with an air path in the resonator and several metal defects set in the bus waveguide. We systematically studied three types of sensor structures employing the finite element method. Results show that the surface plasmon mode’s splitting is affected by the geometry of the sensor. We found that the transmittance dips and peaks can dramatically change by adding the dual air stubs, and the light–matter interaction can effectively enhance by embedding an air path in the resonator and the metal defects in the bus waveguide. The double air stubs and an air path contribute to the cavity plasmon resonance, and the metal defects facilitate the gap plasmon resonance in the proposed plasmonic sensor, resulting in remarkable characteristics compared with those of plasmonic sensors. The high sensitivity of 2600 nm/RIU and 1200 nm/RIU can simultaneously achieve in mode 1 and mode 2 of the proposed type 3 structure, which considerably raises the sensitivity by 216.67% for mode 1 and 133.33% for mode 2 compared to its regular counterpart, i.e., type 2 structure. The designed sensing structure can detect the material’s refractive index in a wide range of gas, liquids, and biomaterials (e.g., hemoglobin concentration).

scholarly journals Quantum conductivity for metal–insulator–metal nanostructures

2014 ◽  
Vol 31 (2) ◽  
pp. 259 ◽  
Author(s):  
Joseph W. Haus ◽  
Domenico de Ceglia ◽  
Maria Antonietta Vincenti ◽  
Michael Scalora
Keyword(s):  
Metal Nanostructures ◽  
Metal Insulator ◽  
Metal Insulator Metal

scholarly journals The Concept of Metal-Insulator-Metal Nanostructures as Adaptive Neural Networks

2018 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Catarina Dias ◽  
Luís M. Guerra ◽  
Paulo Aguiar ◽  
João Ventura
Keyword(s):  
Neural Networks ◽  
Computer Processing ◽  
Metal Nanostructures ◽  
Nonlinear Relationship ◽  
Metal Insulator ◽  
Von Neumann ◽  
Metal Insulator Metal ◽  
Learning And Adaptation ◽  
The Brain ◽  
Current History

Present computer processing capabilities are becoming a restriction to meet modern technological needs. Therefore, approaches beyond the von Neumann computational architecture are imperative and the brain operation and structure are truly attractive models. Memristors are characterized by a nonlinear relationship between current history and voltage and were shown to present properties resembling those of biological synapses. Here, the use of metal-insulator-metal-based memristive devices in neural networks capable of simulating the learning and adaptation features present in mammal brains is discussed.

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