Ultra-Sensitive Visible-IR Range Fiber Based Plasmonic Sensor: A Finite-Element Analysis and Deep Learning Approach for RI Prediction

In this paper, a relatively simple and ultra-sensitive Photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor is proposed for detecting different analyte refractive indices (RIs) ranging from 1.33 to 1.43 over a wide range of wavelength spectrum spanning <inline-formula> <tex-math...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Mohammad Al Mahfuz, Sumaiya Afroj, Afiquer Rahman, Md. Azad Hossain, Md. Anwar Hossain, Md Selim Habib
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Photonic crystal fiber surface plasmon resonance artificial neural network sensor
Linkit:	https://ieeexplore.ieee.org/document/10510458/
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