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Electronic Stability of Carbon Nanotube Transistors Under Long-Term Bias Stress.
Noyce, Steven G; Doherty, James L; Cheng, Zhihui; Han, Hui; Bowen, Shane; Franklin, Aaron D.
Afiliação
  • Noyce SG; Department of Electrical & Computer Engineering , Duke University , Durham , North Carolina 27708 , United States.
  • Doherty JL; Department of Electrical & Computer Engineering , Duke University , Durham , North Carolina 27708 , United States.
  • Cheng Z; Department of Electrical & Computer Engineering , Duke University , Durham , North Carolina 27708 , United States.
  • Han H; Illumina Inc. , 5200 Illumina Way , San Diego , California 92122 , United States.
  • Bowen S; Illumina Inc. , 5200 Illumina Way , San Diego , California 92122 , United States.
  • Franklin AD; Department of Electrical & Computer Engineering , Duke University , Durham , North Carolina 27708 , United States.
Nano Lett ; 19(3): 1460-1466, 2019 03 13.
Article em En | MEDLINE | ID: mdl-30720283
Thousands of reports have demonstrated the exceptional performance of sensors based on carbon nanotube (CNT) transistors, with promises of transformative impact. Yet, the effect of long-term bias stress on individual CNTs, critical for most sensing applications, has remained uncertain. Here, we report bias ranges under which CNT transistors can operate continuously for months or more without degradation. Using a custom characterization system, the impacts of defect formation and charge traps on the stability of CNT-based sensors under extended bias are determined. In addition to breakdown, which is well-known, we identify three additional operational modes: full stability, slow decay, and fast decay. We identify a current drift behavior that reduces dynamic range by over four orders of magnitude but is avoidable with appropriate sensing modalities. Identification of these stable operation modes and limits for nanotube-based sensors addresses concerns surrounding their development for a myriad of sensing applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nano Lett Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nano Lett Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos