Locally weighted linear regression–optimized graphene–metal metasurface sensor for high-sensitivity organic compound detection in terahertz regime DOI
Jacob Wekalao, Ahmed Mehaney,

Bashir Salah

et al.

Zeitschrift für Naturforschung A, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Abstract This study presents the design and optimization of a graphene–gold–silver metasurface sensor for highly sensitive detection organic compounds in terahertz (THz) regime. By leveraging plasmonic properties gold silver combined with tunable electronic characteristics graphene, demonstrates enhanced molecular interaction improved performance. COMSOL Multiphysics simulations show high refractive index sensitivity up to value 810 GHzRIU −1 excellent resonance quality factor (Q) 11.197. The achieves limit (DL) as low 0.075 RIU dynamic range (DR) from 2.765 2.555, indicating exceptional broad applicability. Additionally, integration machine learning optimization, particularly Locally Weighted Linear Regression (LWLR), improves prediction accuracy, achieving R 2 near 1. results highlight sensor’s real-time, label-free capabilities, signal-to-noise ratio (SNR) 0.377. These findings demonstrate potential applications environmental monitoring, biomedical diagnostics, industrial control, offering significant advancement THz-based sensing technologies.

Language: Английский

Locally weighted linear regression–optimized graphene–metal metasurface sensor for high-sensitivity organic compound detection in terahertz regime DOI
Jacob Wekalao, Ahmed Mehaney,

Bashir Salah

et al.

Zeitschrift für Naturforschung A, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Abstract This study presents the design and optimization of a graphene–gold–silver metasurface sensor for highly sensitive detection organic compounds in terahertz (THz) regime. By leveraging plasmonic properties gold silver combined with tunable electronic characteristics graphene, demonstrates enhanced molecular interaction improved performance. COMSOL Multiphysics simulations show high refractive index sensitivity up to value 810 GHzRIU −1 excellent resonance quality factor (Q) 11.197. The achieves limit (DL) as low 0.075 RIU dynamic range (DR) from 2.765 2.555, indicating exceptional broad applicability. Additionally, integration machine learning optimization, particularly Locally Weighted Linear Regression (LWLR), improves prediction accuracy, achieving R 2 near 1. results highlight sensor’s real-time, label-free capabilities, signal-to-noise ratio (SNR) 0.377. These findings demonstrate potential applications environmental monitoring, biomedical diagnostics, industrial control, offering significant advancement THz-based sensing technologies.

Language: Английский

Citations

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