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The design of a low power carbon nanotube chemical sensor system

Published: 08 June 2008 Publication History

Abstract

This paper presents a hybrid CNT/CMOS chemical sensor system that comprises of a carbon nanotube sensor array and a CMOS interface chip. The full system, including the sensor, consumes 32μW at 1.83kS/s readout rate, accomplished through an extensive use of CAD tools and a model-based architecture optimization. A redundant use of CNT sensors in the frontend increases the reliability of the system.

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  • (2017)GAS Sensor Modelling and SimulationHandbook of Research on Nanoelectronic Sensor Modeling and Applications10.4018/978-1-5225-0736-9.ch004(70-116)Online publication date: 2017
  • (2016)Analysis of Simulated Output Characteristics of Gas Sensor Based on Graphene NanoribbonJournal of Nanomaterials10.1155/2016/98353402016(34)Online publication date: 1-Mar-2016
  • (2016)Analytical assessment of carbon allotropes for gas sensor applicationsMeasurement10.1016/j.measurement.2016.02.04692(295-302)Online publication date: Oct-2016
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  1. The design of a low power carbon nanotube chemical sensor system

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    cover image ACM Conferences
    DAC '08: Proceedings of the 45th annual Design Automation Conference
    June 2008
    993 pages
    ISBN:9781605581156
    DOI:10.1145/1391469
    • General Chair:
    • Limor Fix
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 08 June 2008

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    Author Tags

    1. carbon nanotube
    2. low power
    3. sensor system

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    View all
    • (2017)GAS Sensor Modelling and SimulationHandbook of Research on Nanoelectronic Sensor Modeling and Applications10.4018/978-1-5225-0736-9.ch004(70-116)Online publication date: 2017
    • (2016)Analysis of Simulated Output Characteristics of Gas Sensor Based on Graphene NanoribbonJournal of Nanomaterials10.1155/2016/98353402016(34)Online publication date: 1-Mar-2016
    • (2016)Analytical assessment of carbon allotropes for gas sensor applicationsMeasurement10.1016/j.measurement.2016.02.04692(295-302)Online publication date: Oct-2016
    • (2015)Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensorsRSC Advances10.1039/C5RA01150G5:67(54700-54709)Online publication date: 2015
    • (2015)Analytical Modeling and Artificial Neural Network (ANN) Simulation of Current-Voltage Characteristics in Graphene Nanoscroll Based Gas SensorsPlasmonics10.1007/s11468-015-9967-510:6(1713-1722)Online publication date: 31-May-2015
    • (2014)Analytical Calculation of Sensing Parameters on Carbon Nanotube Based Gas SensorsSensors10.3390/s14030550214:3(5502-5515)Online publication date: 20-Mar-2014
    • (2014)Carbon Nanotube Gas SensorsGas Sensing Fundamentals10.1007/5346_2014_59(109-174)Online publication date: 30-Apr-2014
    • (2009)Digital VLSI logic technology using Carbon Nanotube FETsProceedings of the 46th Annual Design Automation Conference10.1145/1629911.1629995(304-309)Online publication date: 26-Jul-2009
    • (2009)Multi-scale Modeling and Analysis of Nano-RFID Systems on HPC SetupContemporary Computing10.1007/978-3-642-03547-0_61(649-659)Online publication date: 2009

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