This title appears in the Scientific Report :
2003
Please use the identifier:
http://hdl.handle.net/2128/2021 in citations.
Please use the identifier: http://dx.doi.org/10.1103/PhysRevB.67.165316 in citations.
Coherent resistance of a disordered one-dimensional wire: Expressions for all moments and evidence for non-Gaussian distribution
Coherent resistance of a disordered one-dimensional wire: Expressions for all moments and evidence for non-Gaussian distribution
We study coherent electron transport in a one-dimensional wire with disorder modeled as a chain of randomly positioned scatterers. We derive analytical expressions for all statistical moments of the wire resistance rho. By means of these expressions we show analytically that the distribution P(f) of...
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Personal Name(s): | Vagner, P. |
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Markos, P. / Mosko, M. / Schäpers, T. | |
Contributing Institute: |
Institut für Halbleiterschichten und Bauelemente; ISG-1 Center of Nanoelectronic Systems for Information Technology; CNI |
Published in: | Physical Review B Physical review / B, 67 67 (2003 2003) 16 16, S. 165316 165316 |
Imprint: |
College Park, Md.
APS
2003
|
Physical Description: |
165316 |
DOI: |
10.1103/PhysRevB.67.165316 |
Document Type: |
Journal Article |
Research Program: |
Materialien, Prozesse und Bauelemente für die Mikro- und Nanoelektronik |
Series Title: |
Physical Review B
67 |
Subject (ZB): | |
Link: |
Get full text OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1103/PhysRevB.67.165316 in citations.
We study coherent electron transport in a one-dimensional wire with disorder modeled as a chain of randomly positioned scatterers. We derive analytical expressions for all statistical moments of the wire resistance rho. By means of these expressions we show analytically that the distribution P(f) of the variable f = ln(1 + rho) is not exactly Gaussian even in the limit of weak disorder. In a strict mathematical sense, this conclusion is found to hold not only for the distribution tails but also for the bulk of the distribution P(f). |