Finite Element Method-Based Modeling of a Novel Square Photonic Crystal Fiber Surface Plasmon Resonance Sensor with a Au–TiO<sub>2</sub> Interface and the Relevance of Artificial Intelligence Techniques in Sensor Optimization

Finite Element Method-Based Modeling of a Novel Square Photonic Crystal Fiber Surface Plasmon Resonance Sensor with a Au–TiO<sub>2</sub> Interface and the Relevance of Artificial Intelligence Techniques in Sensor Optimization

This research presents a novel square-shaped photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor, designed using the external metal deposition (EMD) technique, for highly sensitive refractive index (RI) sensing applications. The proposed sensor operates effectively over an RI r...

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Bibliographic Details
Main Authors: Ayushman Ramola, Amit Kumar Shakya, Arik Bergman
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Photonics
Subjects:
photonic crystal fiber
surface plasmon resonance
external metal deposition
refractive index
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/2304-6732/12/6/565
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