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Title: | NANOPHOTONICS-BASED MID-IR SENSORS | Authors: | REN ZHIHAO | ORCID iD: | orcid.org/0000-0002-2520-0784 | Keywords: | Nanophotonics, Mid-IR, Nanoantenna, Metasurface, Nanofluidics, Machine Learning | Issue Date: | 16-Jan-2023 | Citation: | REN ZHIHAO (2023-01-16). NANOPHOTONICS-BASED MID-IR SENSORS. ScholarBank@NUS Repository. | Abstract: | Mid-infrared (mid-IR) spectroscopy is a promising technique for non-invasive and label-free molecule identification in various applications such as environmental monitoring, healthcare, clinical diagnosis, and military applications. However, the performance of mid-IR spectroscopy is still limited due to the constraints of the current technology. Plasmonic nanoantennas (PNAs) have emerged as a miniaturized solution for improving the sensitivity and bandwidth of mid-IR spectroscopy. In this thesis, a theoretical framework of loss engineering is proposed to guide the design and optimization of PNAs for sensing applications. Three optimal PNA structures of hook nanoantennas, multi-hotspot nanoantennas, and metal-insulator-metal-based nanorods are investigated to validate the loss engineering approach. Additionally, four platforms, including wavelength-multiplexed hook nanoantennas, polymer/metal-organic-framework integrated multi-hotspot nanoantennas, hybrid nanofluidic-surface-enhanced IR absorption, and hybrid nanofluidic reconfigurable metasurfaces, are developed to demonstrate the potential of PNAs in state-of-the-art gas and liquid sensing applications. Overall, this thesis provides a comprehensive understanding of the design, optimization, and application of PNAs for mid-IR spectroscopy. | URI: | https://scholarbank.nus.edu.sg/handle/10635/239216 |
Appears in Collections: | Ph.D Theses (Open) |
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