Variable-range hopping is a model used to describe carrier transport in a disordered semiconductor or in amorphous solid by hopping in an extended temperature range.[1] It has a characteristic temperature dependence of
\sigma=
| |||||||
\sigma | |||||||
0e |
where
\sigma
\beta
The Mott variable-range hopping describes low-temperature conduction in strongly disordered systems with localized charge-carrier states[2] and has a characteristic temperature dependence of
\sigma=
| |||||||
\sigma | |||||||
0e |
for three-dimensional conductance (with
\beta
\sigma=
| |||||||
\sigma | |||||||
0e |
Hopping conduction at low temperatures is of great interest because of the savings the semiconductor industry could achieve if they were able to replace single-crystal devices with glass layers.[3]
The original Mott paper introduced a simplifying assumption that the hopping energy depends inversely on the cube of the hopping distance (in the three-dimensional case). Later it was shown that this assumption was unnecessary, and this proof is followed here.[4] In the original paper, the hopping probability at a given temperature was seen to depend on two parameters, R the spatial separation of the sites, and W, their energy separation. Apsley and Hughes noted that in a truly amorphous system, these variables are random and independent and so can be combined into a single parameter, the range
stylel{R}
Mott showed that the probability of hopping between two states of spatial separation
styleR
P\sim\exp\left[-2\alphaR-
W | |
kT |
\right]
We now define
stylel{R}=2\alphaR+W/kT
styleP\sim\exp(-l{R})
stylel{R}
Conduction is the result of many series of hops through this four-dimensional array and as short-range hops are favoured, it is the average nearest-neighbour "distance" between states which determines the overall conductivity. Thus the conductivity has the form
\sigma\sim\exp(-\overline{l{R}}nn)
style\overline{l{R}}nn
The first step is to obtain
stylel{N}(l{R})
stylel{R}
l{N}(l{R})=Kl{R}d+1
styleK=
N\pikT | |
3 x 2d\alphad |
style\overline{l{R}}nn
Then the probability that a state with range
stylel{R}
Pnn(l{R})=
\partiall{N | |
(l{R})}{\partiall{R}}\exp |
[-l{N}(l{R})]
For the d-dimensional case then
\overline{l{R}}nn=
infty | |
\int | |
0 |
(d+1)Kl{R}d+1\exp(-Kl{R}d+1)dl{R}
This can be evaluated by making a simple substitution of
stylet=Kl{R}d+1
style\Gamma(z)=
infty | |
\int | |
0 |
tz-1e-tdt
After some algebra this gives
\overline{l{R}}nn=
| |||||||
|
\sigma\propto\exp
| ||||
\left(-T |
\right)
When the density of states is not constant (odd power law N(E)), the Mott conductivity is also recovered, as shown in this article.
See also: Coulomb gap. The Efros–Shklovskii (ES) variable-range hopping is a conduction model which accounts for the Coulomb gap, a small jump in the density of states near the Fermi level due to interactions between localized electrons.[5] It was named after Alexei L. Efros and Boris Shklovskii who proposed it in 1975.
The consideration of the Coulomb gap changes the temperature dependence to
\sigma=
| |||||||
\sigma | |||||||
0e |
for all dimensions (i.e.
\beta