Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022A Low-power 2D Active Pixel Sensor Matrix with Spectral Uniformity, High Dynamic Range, Fast Reset, and De-noising Capabilitiescitations

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Steves, Megan
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Pannone, Andrew
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Redwing, Joan
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Dodda, Akhil
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2022

Co-Authors (by relevance)

  • Steves, Megan
  • Pannone, Andrew
  • Redwing, Joan
  • Dodda, Akhil
  • Ordonez, Claudio
  • Trainor, Nicholas
  • Bachu, Saiphaneendra
  • Stepanoff, Sergei
  • Wolfe, Douglas
  • Shallenberger, Jeffrey
  • Knappenberger, Kenneth
  • Das, Saptarshi
OrganizationsLocationPeople

document

A Low-power 2D Active Pixel Sensor Matrix with Spectral Uniformity, High Dynamic Range, Fast Reset, and De-noising Capabilities

  • Steves, Megan
  • Jayachandran, Darsith
  • Pannone, Andrew
  • Redwing, Joan
  • Dodda, Akhil
  • Ordonez, Claudio
  • Trainor, Nicholas
  • Bachu, Saiphaneendra
  • Stepanoff, Sergei
  • Wolfe, Douglas
  • Shallenberger, Jeffrey
  • Knappenberger, Kenneth
  • Das, Saptarshi
Abstract

<jats:title>Abstract</jats:title><jats:p>Development of low-power and smart vision sensors is critical for many emerging applications including the acceleration of edge intelligence. In this article, we introduce an active pixel sensor (APS) technology with in-sensor compute capability based on atomically thin two-dimensional (2D) semiconducting material such as monolayer MoS2. The presented 2D APS uses only one programmable phototransistor (1T cell), which significantly reduces the area overhead allowing one to fit 900 pixels in ~0.09 cm2. Phototransistors in the array exploit gate tunable persistent photoconductivity to exhibit high responsivity (~3.6×107 A/W), high specific detectivity (~5.6×1013 Jones), spectral uniformity, and high dynamic range (~80 dB) and electrical programmability to achieve fast reset (~ 100 µs) and in-sensor de-noising capabilities. Commonly encountered problems in the field of 2D material based vision sensors are also resolved by showing near-ideal yield and low device-to-device variation in photoresponse owing to high quality growth, damage-free transfer, and relatively clean fabrication process flow. Remarkably, the energy expenditure by 2D APS was found to be miniscule and in the range of hundreds of femto Joules per pixel. We believe, our low-power 2D APS technology with in-sensor image processing capabilities can be transformative for many edge applications.</jats:p>

Topics
  • impedance spectroscopy
  • two-dimensional
  • photoconductivity
  • appearance potential spectroscopy