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Title: Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors

 [1];  [1];  [2]; ORCiD logo [3]
  1. Electrical and Computer Engineering New York University Brooklyn NY 11201 USA
  2. Center for Neural Science New York University New York NY 10003 USA, Neuroscience Institute New York University Langone Medical Center New York NY 10016 USA
  3. Electrical and Computer Engineering New York University Brooklyn NY 11201 USA, Center for Quantum Phenomena Physics Department New York University New York NY 10003 USA
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Publisher's Accepted Manuscript
Journal Name:
Advanced Materials
Additional Journal Information:
Journal Name: Advanced Materials Journal Volume: 31 Journal Issue: 6; Journal ID: ISSN 0935-9648
Wiley Blackwell (John Wiley & Sons)
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Wu, Ting, Alharbi, Abdullah, Kiani, Roozbeh, and Shahrjerdi, Davood. Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors. Germany: N. p., 2018. Web.
Wu, Ting, Alharbi, Abdullah, Kiani, Roozbeh, & Shahrjerdi, Davood. Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors. Germany.
Wu, Ting, Alharbi, Abdullah, Kiani, Roozbeh, and Shahrjerdi, Davood. Thu . "Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors". Germany.
title = {Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors},
author = {Wu, Ting and Alharbi, Abdullah and Kiani, Roozbeh and Shahrjerdi, Davood},
abstractNote = {},
doi = {10.1002/adma.201805752},
journal = {Advanced Materials},
number = 6,
volume = 31,
place = {Germany},
year = {2018},
month = {12}

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