Multiple annealing based photonic tunability for enhanced photo-response of AuGe nanoparticles

Lavi Tyagi; Shubham Mondal; Sritoma Paul; Harshal Rawool; Vinayak Chavan; Subhananda Chakrabarti

doi:10.1117/12.2529156

9 September 2019 Multiple annealing based photonic tunability for enhanced photo-response of AuGe nanoparticles

Lavi Tyagi, Shubham Mondal, Sritoma Paul, Harshal Rawool, Vinayak Chavan, Subhananda Chakrabarti

Proceedings Volume 11082, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVII; 1108228 (2019) https://doi.org/10.1117/12.2529156
Event: SPIE Nanoscience + Engineering, 2019, San Diego, California, United States

Abstract

The work on Au-Ge nanoparticles (Nps) carried out so far by us has been successfully applied to devices like Bilayer, Trilayer, Hepta-layer Quantum dot infrared photodetectors (QDIP). An improved photonic response is achieved for the devices in terms of responsivity, photocurrent, responsivity, absorption and scattering. The dedicated standard recipe to get Nano-particles of different materials (Metals, Semiconductor) on distinguished substrate are revealed. It has been observed that the processes are repeated multiple time at the condition where desirable plasmonic condition does not match. Here the process has been optimized with multiple repeated annealing of Gold (Au) and Gold-Germanium (Au₈₈Ge₁₂) that shows the consistent pattern of reflectance where each anneal modifies the refractive index in same order with variable thickness of annealed film. This technique dilutes the constraints of fresh sample preparation whenever the nanoparticle response is dull, then the induced variation in size and volume of particle along with tuned distribution will become suitable.

Citation Download Citation

Lavi Tyagi, Shubham Mondal, Sritoma Paul, Harshal Rawool, Vinayak Chavan, and Subhananda Chakrabarti "Multiple annealing based photonic tunability for enhanced photo-response of AuGe nanoparticles", Proc. SPIE 11082, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVII, 1108228 (9 September 2019); https://doi.org/10.1117/12.2529156

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