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Dive into the research topics where Jerome Michon is active.

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Featured researches published by Jerome Michon.


Light-Science & Applications | 2018

Monolithically integrated stretchable photonics

Lan Li; Hongtao Lin; Shutao Qiao; Yizhong Huang; Junying Li; Jerome Michon; Tian Gu; Carlos Alosno-Ramos; Laurent Vivien; Anupama Yadav; Kathleen Richardson; Nanshu Lu; Juejun Hu

Mechanically stretchable photonics provides a new geometric degree of freedom for photonic system design and foresees applications ranging from artificial skins to soft wearable electronics. Here we describe the design and experimental realization of the first single-mode stretchable photonic devices. These devices, made of chalcogenide glass and epoxy polymer materials, are monolithically integrated on elastomer substrates. To impart mechanical stretching capability to devices built using these intrinsically brittle materials, our design strategy involves local substrate stiffening to minimize shape deformation of critical photonic components, and interconnecting optical waveguides assuming a meandering Euler spiral geometry to mitigate radiative optical loss. Devices fabricated following such design can sustain 41% nominal tensile strain and 3000 stretching cycles without measurable degradation in optical performance. In addition, we present a rigorous analytical model to quantitatively predict stress-optical coupling behavior in waveguide devices of arbitrary geometry without using a single fitting parameter.


arXiv: Optics | 2018

Are slot and sub-wavelength grating waveguides better than strip waveguides for sensing?

Derek Kita; Jerome Michon; Steven G. Johnson; Juejun Hu

The unique ability of slot and sub-wavelength grating (SWG) waveguides to confine light outside of the waveguide core material has attracted significant interest in their application to chemical and biological sensing. However, high sensitivity to sidewall roughness induced scattering loss in these structures compared to strip waveguides casts doubt on their efficacy. In this article, we seek to settle the controversy by quantitatively comparing the sensing performance of various waveguide geometries through figures of merit that we derive for each mode of sensing. These methods take into account both modal confinement and roughness scattering loss, the latter of which is computed using a volume-current (Greens-function) method with a first Born approximation. For devices based on the standard 220 nm silicon-on-insulator (SOI) platform whose propagation loss is predominantly limited by random line-edge sidewall roughness scattering, our model predicts that properly engineered TM-polarized strip waveguides claim the best performance for refractometry and absorption spectroscopy, while optimized slot waveguides demonstrate >5x performance enhancement over the other waveguide geometries for waveguide-enhanced Raman spectroscopy.


Nature Communications | 2018

Ultra-thin high-efficiency mid-infrared transmissive Huygens meta-optics

Li Zhang; Jun Ding; Hanyu Zheng; Sensong An; Hongtao Lin; Bowen Zheng; Qingyang Du; Gufan Yin; Jerome Michon; Yifei Zhang; Zhuoran Fang; Mikhail Y. Shalaginov; Longjiang Deng; Tian Gu; Hualiang Zhang; Juejun Hu

The mid-infrared (mid-IR) is a strategically important band for numerous applications ranging from night vision to biochemical sensing. Here we theoretically analyzed and experimentally realized a Huygens metasurface platform capable of fulfilling a diverse cross-section of optical functions in the mid-IR. The meta-optical elements were constructed using high-index chalcogenide films deposited on fluoride substrates: the choices of wide-band transparent materials allow the design to be scaled across a broad infrared spectrum. Capitalizing on a two-component Huygens’ meta-atom design, the meta-optical devices feature an ultra-thin profile (λ0/8 in thickness) and measured optical efficiencies up to 75% in transmissive mode for linearly polarized light, representing major improvements over state-of-the-art. We have also demonstrated mid-IR transmissive meta-lenses with diffraction-limited focusing and imaging performance. The projected size, weight and power advantages, coupled with the manufacturing scalability leveraging standard microfabrication technologies, make the Huygens meta-optical devices promising for next-generation mid-IR system applications.Mid-IR optics can require exotic materials or complicated processing, which can result in high cost and inferior quality. Here the authors report the demonstration of high-efficiency mid-IR transmissive lenses based on dielectric Huygens metasurface, showing diffraction limited focusing and imaging performance.


Nature Communications | 2018

High-performance and scalable on-chip digital Fourier transform spectroscopy

Derek Kita; Brando Miranda; David Favela; David Bono; Jerome Michon; Hongtao Lin; Tian Gu; Juejun Hu

On-chip spectrometers have the potential to offer dramatic size, weight, and power advantages over conventional benchtop instruments for many applications such as spectroscopic sensing, optical network performance monitoring, hyperspectral imaging, and radio-frequency spectrum analysis. Existing on-chip spectrometer designs, however, are limited in spectral channel count and signal-to-noise ratio. Here we demonstrate a transformative on-chip digital Fourier transform spectrometer that acquires high-resolution spectra via time-domain modulation of a reconfigurable Mach-Zehnder interferometer. The device, fabricated and packaged using industry-standard silicon photonics technology, claims the multiplex advantage to dramatically boost the signal-to-noise ratio and unprecedented scalability capable of addressing exponentially increasing numbers of spectral channels. We further explore and implement machine learning regularization techniques to spectrum reconstruction. Using an ‘elastic-D1’ regularized regression method that we develop, we achieved significant noise suppression for both broad (>600 GHz) and narrow (<25 GHz) spectral features, as well as spectral resolution enhancement beyond the classical Rayleigh criterion.On-chip spectrometers typically have limited spectral channels and low signal to noise ratios. Here the authors introduce a digital architecture that uses switches to change the interferometer path lengths, enabling exponentially more spectral channels per circuit element and lower noise by leveraging a machine learning reconstruction algorithm.


Optics Letters | 2016

Low-loss photonic device in Ge–Sb–S chalcogenide glass

Qingyang Du; Yizhong Huang; Junying Li; Derek Kita; Jerome Michon; Hongtao Lin; Lan Li; Spencer Novak; Kathleen Richardson; Wei Zhang; Juejun Hu


conference on lasers and electro optics | 2018

High-resolution on-chip digital Fourier transform spectroscopy

Derek Kita; Brando Mirandat; David Favelai; David Bono; Jerome Michon; Hongtao Lin; Tian Gu; Juejun Hu


conference on lasers and electro optics | 2017

Broadband transparent optical phase change materials

Yifei Zhang; Junying Li; Jeffrey B. Chou; Zhuoran Fang; Anupama Yadav; Hongtao Lin; Qingyang Du; Jerome Michon; Zhaohong Han; Yizhong Huang; Hanyu Zheng; Tian Gu; Vladimir Liberman; Kathleen Richardson; Juejun Hu


Prof. Hu via Erja Kajosalo | 2017

A new twist on glass: A brittle material enabling flexible integrated photonics

Anupama Yadav; Kathleen Richardson; Lan Li; Hongtao Lin; Jerome Michon; Yizhong Huang; Junying Li; Qingyang Du; Tian Gu; Juejun Hu


arxiv:physics.app-ph | 2018

Digital Fourier transform spectroscopy: a high-performance, scalable technology for on-chip spectrum analysis

Derek Kita; Brando Miranda; David Favela; David Bono; Jerome Michon; Hongtao Lin; Tian Gu; Juejun Hu


Optica | 2018

High-performance flexible waveguide-integrated photodetectors

Lan Li; Hongtao Lin; Yizhong Huang; Ren-Jye Shiue; Anupama Yadav; Junying Li; Jerome Michon; Dirk Englund; Kathleen Richardson; Tian Gu; Juejun Hu

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Juejun Hu

Massachusetts Institute of Technology

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Tian Gu

Massachusetts Institute of Technology

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Hongtao Lin

Massachusetts Institute of Technology

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Yizhong Huang

Massachusetts Institute of Technology

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Anupama Yadav

University of Central Florida

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Junying Li

Massachusetts Institute of Technology

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Qingyang Du

Massachusetts Institute of Technology

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Hanyu Zheng

Massachusetts Institute of Technology

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Lan Li

Massachusetts Institute of Technology

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