The emerging field of Cavity-Optomechanics assisted by uniquely engineered structures named PhoXonic crystals is known for realizing strong microscopic interactions between the quasi-particles of light and sound. The PhoXonic interaction allows the additional control over the optical nonlinearities mediated by the additional mechanical strength. The phenomenon opens up a wide variety of applications where the need is to suppress the nonlinear optical losses as a result of poor mechanical strength, operating with longer infrared wavelengths in particular. In this work, we explore the potential of phoXonic crystals to realize ultra-low loss on-chip sensing platform with a multispectral response at midwave infrared wavelengths.
We design a multispectral transmission waveguide based on phoxonic crystals at midwave infrared (MWIR) frequencies. The phoxonic crystal slot-waveguide architecture is realized using a germanium (Ge)-slot waveguide, surrounded by a supercell array of oxide holes in silicon–germanium (SiGe) membrane tailored photonic and phononic crystal bandgap. The plane wave simulations for both photonic and phononic crystal unit cells were performed to confirm the geometry of the phoxonic supercell. The bandgap analysis shows the capability of the proposed architecture to confine photons of the terahertz frequency range within the slot waveguide by isolating them from the phonons of gigahertz frequency range. The phononic and photonic bandgaps were simultaneously engineered by varying the periodic variation of the density function and dielectric permittivity, respectively. The computational approach shows the suppression in photon-phonon scattering as validated by a uniform transmission of ∼99.8 % over a broad range of 3 to 5 μm wavelengths. The designed phoxonic crystal waveguide can be fabricated with planar processing technology and used in many applications where multispectral control of mid-IR signals is required.
Image sensing has entered a new era with advancements in quantum mechanics. The infrared (IR) absorbers are the heart of this new era of image sensing. Within the IR spectra, the shortwave to mid-wave (MWIR) radiations are absorbed by IR photodetectors, whereas the MWIR to very-long wave spectrum is absorbed by IR thermal detectors. Both of these categories of image sensing cover the complete IR spectrum utilized by the applications ranging from biosensing in healthcare sector to autonomous vehicle navigation in military and space purposes. Despite having high-cost semiconductor technology with group-II–VI (mercury–cadmium–telluride) and group-III–V (indium–gallium–arsenide) dominating this IR absorbance industry for many decades, the need to have a cost-effective solution has led to an explosion in the exploration of potential materials. Two-dimensional (graphene, dichalcogenides of transition metals, and black-phosphorous) antimonite-based and group-IV/IV alloys have been found to show unprecedented absorption yield and detector properties comparable to traditional dominators with flexible fabrication methods. At the same time, the photon upconversion phenomenon that upconverts low-energy light to high-energy light has emerged as an exceptionally rich area of research in image sensing. The principle behind this concept lies in different energy transfer mechanisms (two photon absorption, triplet–triplet annihilation, cooperative energy pooling, etc.). The advancements that took place most recently in the development of IR absorbers have been reviewed in a concise way. Furthermore, the advancements in upconversion-based detection focusing on how this is evolving as a low-cost alternative for image sensing have been reviewed. Further discussion on how to anticipate a low-power, cost-effective, and light-weight image sensing system has been presented while mentioning some recent research as a proof-of-concept. We finally suggest a possible approach that could come up by synergizing the two simultaneous technologies to foresee the realization of an all-optical, low-power, and light-weight broad-range IR absorber for various applications.
Conference Committee Involvement (1)
ECCE ASIA 2021
24 May 2021 |
Course Instructor
NON-SPIE: IMAGE PROCESSING & COMPUTER VISION
This Post-graduate level course focuses on image processing and computer vision focuses on studying methods that allow a machine to learn and analyze images and video using geometry and statistical learning.
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