Journal
APPLIED PHYSICS LETTERS
Volume 102, Issue 9, Pages -Publisher
AMER INST PHYSICS
DOI: 10.1063/1.4794843
Keywords
-
Categories
Funding
- Semiconductor Research Corporation (SRC)
- Defense Advanced Research Project Agency (DARPA) through the Center for Function Accelerated nanoMaterial Engineering (FAME)
- National Science Foundation (NSF) [US EECS-1128304, EECS-1124733, EECS-1102074]
- US NSF under the auspices of I/UCRC CONNECTION ONE at RPI
- NSF EAGER program
- Russian Fund for Basic Research (RFBR) [11-02-00013]
- Directorate For Engineering [1128304] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys [1128304] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1124733] Funding Source: National Science Foundation
Ask authors/readers for more resources
Low-frequency noise with the spectral density S(f)similar to 1/f(gamma) (f is the frequency and gamma approximate to 1) is a ubiquitous phenomenon, which hampers operation of many devices and circuits. A long-standing question of particular importance for electronics is whether 1/f noise is generated on the surface of electrical conductors or inside their volumes. Using high-quality graphene multilayers, we were able to directly address this fundamental problem of the noise origin. Unlike the thickness of metal or semiconductor films, the thickness of graphene multilayers can be continuously and uniformly varied all the way down to a single atomic layer of graphene-the actual surface. We found that 1/f noise becomes dominated by the volume noise when the thickness exceeds similar to 7 atomic layers (similar to 2.5 nm). The 1/f noise is the surface phenomenon below this thickness. The obtained results are important for continuous downscaling of conventional electronics and for the proposed graphene applications in sensors and communications. (C) 2013 American Institute of Physics. [http://dx.doi.org/10.1063/1.4794843]
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available