Integration challenges for high-performance carbon nanotube logic

As the scaling of silicon-based devices becomes more challenging, alternative channel materials are being actively explored. One approach is to replace the silicon channel with nanoparticles - for example, carbon nanotubes - that offer higher performance and better scaling potential. However, the in...

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Published in2014 IEEE Bipolar/BiCMOS Circuits and Technology Meeting (BCTM) pp. 123 - 127
Main Authors Hannon, James B., Park, Hongsik, Tulevski, George S., Haensch, Wilfried
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2014
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Abstract As the scaling of silicon-based devices becomes more challenging, alternative channel materials are being actively explored. One approach is to replace the silicon channel with nanoparticles - for example, carbon nanotubes - that offer higher performance and better scaling potential. However, the incorporation of nanoparticles requires the development of new "bottom up" fabrication techniques to grow or place particles at precise locations on a substrate. The inherent randomness of these assembly processes has an obvious impact on device yield, which must be taken into account in optimizing the layout of a device. Here we describe a simple statistical analysis of device yield that can give insight into the self-assembly process, and is particularly useful for characterizing nanoparticle self-assembly from solution.
AbstractList As the scaling of silicon-based devices becomes more challenging, alternative channel materials are being actively explored. One approach is to replace the silicon channel with nanoparticles - for example, carbon nanotubes - that offer higher performance and better scaling potential. However, the incorporation of nanoparticles requires the development of new "bottom up" fabrication techniques to grow or place particles at precise locations on a substrate. The inherent randomness of these assembly processes has an obvious impact on device yield, which must be taken into account in optimizing the layout of a device. Here we describe a simple statistical analysis of device yield that can give insight into the self-assembly process, and is particularly useful for characterizing nanoparticle self-assembly from solution.
Author Park, Hongsik
Haensch, Wilfried
Hannon, James B.
Tulevski, George S.
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  surname: Haensch
  fullname: Haensch, Wilfried
  organization: Res. Div., T.J. Watson Res. Center, IBM, Yorktown Heights, NY, USA
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Snippet As the scaling of silicon-based devices becomes more challenging, alternative channel materials are being actively explored. One approach is to replace the...
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StartPage 123
SubjectTerms Carbon nanotubes
Hafnium compounds
Nanoparticles
placement
self assembly
Sociology
Statistics
Substrates
Surface treatment
Title Integration challenges for high-performance carbon nanotube logic
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