Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film in a sensor chip Conference Paper

name of conference

• International Workshop on Thin Films for Electronics, Electro-Optics, Energy, and Sensors 2019

authors

• Bukkapatnam, Satish

published proceedings

• INTERNATIONAL WORKSHOP ON THIN FILMS FOR ELECTRONICS, ELECTRO-OPTICS, ENERGY, AND SENSORS 2019

author list (cited authors)

• McAtee, P. D., Bukkapatnam, S., & Lakhtakia, A.

citation count

• 3

complete list of authors

• McAtee, Patrick D||Bukkapatnam, Satish TS||Lakhtakia, Akhlesh

editor list (cited editors)

• Subramanyam, G., Banerjee, P., Lakhtakia, A., & Gudmundsson, K.

publication date

• December 2019

publisher

• SPIE, the international society for optics and photonics  Publisher

published in

• Proceedings of SPIE  Journal

keywords

• Artificial Neural Network
• Biosensors
• Chiral Sculptured Thin Film
• Prism-coupled Configuration
• Surface Plasmon Resonance

Digital Object Identifier (DOI)

• 10.1117/12.2530355

start page

• 1137103-1137103-7

volume

• 11371

URL

• http://dx.doi.org/10.1117/12.2530355