| CONDENSED MATTER: ELECTRONIC STRUCTURE, ELECTRICAL, MAGNETIC, AND OPTICAL PROPERTIES |
Prev
Next
|
|
|
A theoretical extraction scheme of transport information based on exclusion models |
| Chen Hua(陈华)a)†, Du Lei(杜磊)a), Qu Cheng-Li(曲成立)a), Li Wei-Hua(李伟华)b), He Liang(何亮)a), Chen Wen-Hao(陈文豪)a), and Sun Peng(孙鹏)a) |
| a School of Technical Physics, Xidian University, Xi'an 710071, China; b School of Microelectronics, Xidian University, Xi'an 710071, China |
|
|
|
|
Abstract In order to explore how to extract more transport information from current fluctuation, a theoretical extraction scheme is presented in a single barrier structure based on exclusion models, which include counter-flows model and tunnel model. The first four cumulants of these two exclusion models are computed in a single barrier structure, and their characteristics are obtained. A scheme with the help of the first three cumulants is devised to check a transport process to follow the counter-flows model, the tunnel model or neither of them. Time series generated by Monte Carlo techniques is adopted to validate the abstraction procedure, and the result is reasonable.
|
Received: 11 April 2010
Revised: 01 July 2010
Accepted manuscript online:
|
|
PACS:
|
72.10.-d
|
(Theory of electronic transport; scattering mechanisms)
|
|
| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 60676053) and Applied Material in Xi'an Innovation Funds, China (Grant No. XA–AM-200603). |
Cite this article:
Chen Hua(陈华), Du Lei(杜磊), Qu Cheng-Li(曲成立), Li Wei-Hua(李伟华), He Liang(何亮), Chen Wen-Hao(陈文豪), and Sun Peng(孙鹏) A theoretical extraction scheme of transport information based on exclusion models 2010 Chin. Phys. B 19 117202
|
| [1] |
Zhuang Y Q and Sun Q 1993 Noise and Minimizing Technology in Semiconductor Devices (Beijing: National Defense Industry Press) p172 (in Chinese)
|
| [2] |
Ciofi C and Neri B 2000 J. Phys. D: Appl. Phys. 33 R199
|
| [3] |
Li W H, Zhuang Y Q, Du L and Bao J L 2009 Acta Phys. Sin. 58 7183 (in Chinese)
|
| [4] |
Ma Z F, Zhang P, Wu Y, Li W H, Zhuang Y Q and Du L 2010 Chin. Phys. B 19 037201
|
| [5] |
He L, Du L, Zhuang Y Q, Chen H, Chen W H, Li W H and Sun P 2010 Chin. Phys. B 19 09 (in Press)
|
| [6] |
Kindermann M 2003 Electron Counting Statistics in Nanostructures Ph.D. Thesis, Leiden: Leiden University
|
| [7] |
Blanter Y M 2005 arXiv:cond-mat/0511478 [cond-mat.mes-hall]
|
| [8] |
Flindt C, Novotny T, Braggio A and Jauho A P 2010 arXiv:1002.4506 [cond-mat.mes-hall]
|
| [9] |
Roche P E, Derrida B and Douccot B 2005 Eur. Phys. J. B 43 529
|
| [10] |
Chen H, Du L, Qu C L, He L, Chen W H and Sun P Chin. Phys. B accepted
|
| [11] |
Levitov L S and Reznikov M 2004 arXiv:cond-mat/0111057v1 [cond-mat. mes-hall] endfootnotesize
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
