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I think the article needs to be re-arranged. The paragraph slapped on at the end is very non-encyclopedia in its tone. A much better approach would be to write it out in sections with original derivation and issues or something like that. Grj23 ( talk) 07:12, 29 October 2009 (UTC)
I would say that the last section should be expanded and reference more than one paper. Commonly current literature tends to use the form
This would allow for the article to include different types of variable-range hopping, which effect the value of . Also, the in-line Latex typesetting needs to be improved. -- Obvious Alias ( talk) 18:10, 28 June 2013 (UTC)
The general equation for this should be σ = σ_o e^(-(To/T)^(1/p)) Where p = (1 + n)/(1 + n + d) and d = dimensionality?
Also I found it odd that under Variable-Range hopping Efros and Shklovskii's model is not mentioned.
Mott would predict p = 1/4 while Efros would predict p = 1/2. Nearest Neighbor would be p = 1
![]() | This article is rated Start-class on Wikipedia's
content assessment scale. It is of interest to the following WikiProjects: | ||||||||||
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I think the article needs to be re-arranged. The paragraph slapped on at the end is very non-encyclopedia in its tone. A much better approach would be to write it out in sections with original derivation and issues or something like that. Grj23 ( talk) 07:12, 29 October 2009 (UTC)
I would say that the last section should be expanded and reference more than one paper. Commonly current literature tends to use the form
This would allow for the article to include different types of variable-range hopping, which effect the value of . Also, the in-line Latex typesetting needs to be improved. -- Obvious Alias ( talk) 18:10, 28 June 2013 (UTC)
The general equation for this should be σ = σ_o e^(-(To/T)^(1/p)) Where p = (1 + n)/(1 + n + d) and d = dimensionality?
Also I found it odd that under Variable-Range hopping Efros and Shklovskii's model is not mentioned.
Mott would predict p = 1/4 while Efros would predict p = 1/2. Nearest Neighbor would be p = 1