Incubating Advances in Integrated Photonics with Emerging Sensing and Computational Capabilities
arxiv(2024)
摘要
As photonic technologies continue to grow in multidimensional aspects,
integrated photonics holds a unique position and continuously presents enormous
possibilities to research communities. Applications span across data centers,
environmental monitoring, medical diagnosis, and highly compact communication
components, with further possibilities growing endlessly. Here, we provide a
review of state of the art integrated photonic sensors operating in near and
mid infrared wavelength regions on various material platforms. Among different
materials, architectures, and technologies leading the way for on chip sensors,
we discuss optical sensing principles commonly applied to biochemical and gas
sensing. Our focus is particularly on passive and active optical waveguides,
including dispersion engineered metamaterial based structures an essential
approach for enhancing the interaction between light and analytes in chip scale
sensors. We harness a diverse array of cutting edge sensing technologies,
heralding a revolutionary on chip sensing paradigm. Our arsenal includes
refractive index based sensing, plasmonic, and spectroscopy, forging an
unparalleled foundation for innovation and precision. Furthermore, we include a
brief discussion of recent trends and computational concepts incorporating
Artificial Intelligence Machine Learning (AI/ML) and deep learning approaches
over the past few years to improve the qualitative and quantitative analysis of
sensor measurements.
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