4.7 Article

High Sensitivity Terahertz Detection through Large-Area Plasmonic Nano-Antenna Arrays

Journal

SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/srep42667

Keywords

-

Funding

  1. Moore Inventor Fellowship, Presidential Early Career Award for Scientists and Engineers [N00014-14-1-0573]
  2. NIH [1R01GM112693-01A1]
  3. Directorate For Engineering [1609954] Funding Source: National Science Foundation
  4. Div Of Electrical, Commun & Cyber Sys [1609954] Funding Source: National Science Foundation
  5. Div Of Electrical, Commun & Cyber Sys
  6. Directorate For Engineering [1305931] Funding Source: National Science Foundation

Ask authors/readers for more resources

Plasmonic photoconductive antennas have great promise for increasing responsivity and detection sensitivity of conventional photoconductive detectors in time-domain terahertz imaging and spectroscopy systems. However, operation bandwidth of previously demonstrated plasmonic photoconductive antennas has been limited by bandwidth constraints of their antennas and photoconductor parasitics. Here, we present a powerful technique for realizing broadband terahertz detectors through large-area plasmonic photoconductive nano-antenna arrays. A key novelty that makes the presented terahertz detector superior to the state-of-the art is a specific large-area device geometry that offers a strong interaction between the incident terahertz beam and optical pump at the nanoscale, while maintaining a broad operation bandwidth. The large device active area allows robust operation against optical and terahertz beam misalignments. We demonstrate broadband terahertz detection with signal-to-noise ratio levels as high as 107 dB.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Electrical & Electronic

Impact of the Metal Adhesion Layer on the Radiation Power of Plasmonic Photoconductive Terahertz Sources

Deniz Turan, Sofia Carolina Corzo-Garcia, Nezih Tolga Yardimci, Enrique Castro-Camus, Mona Jarrahi

JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES (2017)

Article Nanoscience & Nanotechnology

A polarization-insensitive plasmonic photoconductive terahertz emitter

Xurong Li, Nezih Tolga Yardimci, Mona Jarrahi

AIP ADVANCES (2017)

Article Multidisciplinary Sciences

All-optical machine learning using diffractive deep neural networks

Xing Lin, Yair Rivenson, Nezih T. Yardimei, Muhammed Veli, Yi Luo, Mona Jarrahi, Aydogan Ozcan

SCIENCE (2018)

Review Chemistry, Multidisciplinary

Nanostructure-Enhanced Photoconductive Terahertz Emission and Detection

Nezih Tolga Yardimci, Mona Jarrahi

SMALL (2018)

Article Physics, Applied

A high-responsivity and broadband photoconductive terahertz detector based on a plasmonic nanocavity

N. T. Yardimci, D. Turan, S. Cakmakyapan, M. Jarrahi

APPLIED PHYSICS LETTERS (2018)

Article Physics, Applied

Non-invasive low charge electron beam time-of-arrival diagnostic using a plasmonics-enhanced photoconductive antenna

E. C. Snively, N. T. Yardimci, B. T. Jacobson, M. Jarrahi, P. Musumeci, A. Murokh

APPLIED PHYSICS LETTERS (2018)

Article Multidisciplinary Sciences

Terahertz pulse shaping using diffractive surfaces

Muhammed Veli, Deniz Mengu, Nezih T. Yardimci, Yi Luo, Jingxi Li, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan

Summary: Recent advances in deep learning have provided non-intuitive solutions to inverse problems in optics. Diffractive networks merge wave-optics with deep learning to design task-specific elements for all-optically performing tasks like object classification. The authors present a diffractive network used to shape broadband pulses into desired optical waveforms, demonstrating direct pulse shaping in the terahertz spectrum.

NATURE COMMUNICATIONS (2021)

Article Multidisciplinary Sciences

Spectrally encoded single-pixel machine vision using diffractive networks

Jingxi Li, Deniz Mengu, Nezih T. Yardimci, Yi Luo, Xurong Li, Muhammed Veli, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan

Summary: The research demonstrates optical networks using diffractive layers trained by deep learning to encode spatial information into the power spectrum of diffracted light, achieving optical classification of handwritten digits in the terahertz spectrum. The spectral encoding coupled with an electronic neural network enables task-specific image decompression.

SCIENCE ADVANCES (2021)

Article Multidisciplinary Sciences

Wavelength conversion through plasmon-coupled surface states

Deniz Turan, Ping Keng Lu, Nezih T. Yardimci, Zhaoyu Liu, Liang Luo, Joong-Mok Park, Uttam Nandi, Jigang Wang, Sascha Preu, Mona Jarrahi

Summary: Semiconductor surface states typically hinder device performance, but in this case, the authors utilize them to enable wavelength conversion. They demonstrate a compact, passive conversion device using plasmon-coupled surface states, achieving efficient conversion of optical frequencies without relying on nonlinear phenomena.

NATURE COMMUNICATIONS (2021)

Article Optics

Efficient photoconductive terahertz detection through photon trapping in plasmonic nanocavities

N. T. Yardimci, D. Turan, M. Jarrahi

Summary: The study introduces a photoconductive terahertz detector utilizing a plasmonic nanocavity, providing high sensitivity and broadband operation at very low optical pump power levels. This technology enables high-efficiency terahertz detection at extremely low optical power levels.

APL PHOTONICS (2021)

Correction Multidisciplinary Sciences

Wavelength conversion through plasmon-coupled surface states (vol 12, 4641, 2021)

Deniz Turan, Ping Keng Lu, Nezih T. Yardimci, Zhaoyu Liu, Liang Luo, Joong-Mok Park, Uttam Nandi, Jigang Wang, Sascha Preu, Mona Jarrahi

NATURE COMMUNICATIONS (2021)

Article Plant Sciences

Low baseline intraspecific variation in leaf pressure-volume traits: Biophysical basis and implications for spectroscopic sensing

Marvin Browne, Megan K. Bartlett, Christian Henry, Mona Jarrahi, Grace John, Christine Scoffoni, Nezih Tolga Yardimci, Lawren Sack

Summary: Intra-specific trait variation (ITV) is important in various processes, but it is rarely quantified for ecophysiological traits such as PV curve parameters. This study found low ITV for PV parameters compared to other morphological traits and strong intraspecific relationships among PV traits, using a conservative sampling design.

PHYSIOLOGIA PLANTARUM (2023)

Proceedings Paper Engineering, Electrical & Electronic

Boosting Radiation Efficiency of Photoconductive Nano-Antennas through 3D Light Confinement

Nezih Tolga Yardimci, Semih Cakmakyapan, Soroosh Hemmati, Mona Jarrahi

2017 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING (2017)

Proceedings Paper Engineering, Electrical & Electronic

Plasmonics-enhanced large-area terahertz detectors (Conference Presentation)

Nezih T. Yardimci, Mona Jarrahi

TERAHERTZ, RF, MILLIMETER, AND SUBMILLIMETER-WAVE TECHNOLOGY AND APPLICATIONS X (2017)

No Data Available