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

Authors:
 [1];  [1];  [2]; ORCiD logo [3]
  1. Electrical and Computer EngineeringNew York University Brooklyn NY 11201 USA
  2. Center for Neural ScienceNew York University New York NY 10003 USA, Neuroscience InstituteNew York University Langone Medical Center New York NY 10016 USA
  3. Electrical and Computer EngineeringNew York University Brooklyn NY 11201 USA, Center for Quantum PhenomenaPhysics DepartmentNew York University New York NY 10003 USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1485704
Grant/Contract Number:  
DE‐SC0012704
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Advanced Materials
Additional Journal Information:
Journal Name: Advanced Materials; Journal ID: ISSN 0935-9648
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
Germany
Language:
English

Citation Formats

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. doi:10.1002/adma.201805752.
Wu, Ting, Alharbi, Abdullah, Kiani, Roozbeh, & Shahrjerdi, Davood. Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors. Germany. doi:10.1002/adma.201805752.
Wu, Ting, Alharbi, Abdullah, Kiani, Roozbeh, and Shahrjerdi, Davood. Thu . "Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors". Germany. doi:10.1002/adma.201805752.
@article{osti_1485704,
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 = ,
volume = ,
place = {Germany},
year = {2018},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1002/adma.201805752

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Cited by: 3 works
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