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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. It has a characteristic temperature dependence of :\sigma= \sigma_0e^ where \sigma is the conductivity and \beta is a parameter dependent on the model under consideration.


Mott variable-range hopping

The Mott variable-range hopping describes low-temperature conduction in strongly disordered systems with localized charge-carrier states and has a characteristic temperature dependence of :\sigma= \sigma_0e^ for three-dimensional conductance (with \beta = 1/4), and is generalized to ''d''-dimensions :\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.


Derivation

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. 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'' \textstyle\mathcal between two sites, which determines the probability of hopping between them. Mott showed that the probability of hopping between two states of spatial separation \textstyle R and energy separation ''W'' has the form: :P\sim \exp \left 2\alpha R-\frac\right/math> where α−1 is the attenuation length for a hydrogen-like localised wave-function. This assumes that hopping to a state with a higher energy is the rate limiting process. We now define \textstyle\mathcal = 2\alpha R+W/kT, the ''range'' between two states, so \textstyle P\sim \exp (-\mathcal). The states may be regarded as points in a four-dimensional random array (three spatial coordinates and one energy coordinate), with the "distance" between them given by the range \textstyle\mathcal. 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_) where \textstyle\overline_is the average nearest-neighbour range. The problem is therefore to calculate this quantity. The first step is to obtain \textstyle\mathcal(\mathcal), the total number of states within a range \textstyle\mathcal of some initial state at the Fermi level. For ''d''-dimensions, and under particular assumptions this turns out to be :\mathcal(\mathcal) = K \mathcal^ where \textstyle K = \frac. The particular assumptions are simply that \textstyle\overline_ is well less than the band-width and comfortably bigger than the interatomic spacing. Then the probability that a state with range \textstyle\mathcal is the nearest neighbour in the four-dimensional space (or in general the (''d''+1)-dimensional space) is :P_(\mathcal) = \frac \exp \mathcal(\mathcal)/math> the nearest-neighbour distribution. For the ''d''-dimensional case then :\overline_ = \int_0^\infty (d+1)K\mathcal^\exp (-K\mathcal^)d\mathcal. This can be evaluated by making a simple substitution of \textstyle t=K\mathcal^ into the
gamma function In mathematics, the gamma function (represented by , the capital letter gamma from the Greek alphabet) is one commonly used extension of the factorial function to complex numbers. The gamma function is defined for all complex numbers except t ...
, \textstyle \Gamma(z) = \int_0^\infty t^ e^\,\mathrmt After some algebra this gives :\overline_ = \frac and hence that :\sigma \propto \exp \left(-T^\right).


Non-constant density of states

When the
density of states In solid state physics and condensed matter physics, the density of states (DOS) of a system describes the number of modes per unit frequency range. The density of states is defined as D(E) = N(E)/V , where N(E)\delta E is the number of states ...
is not constant (odd power law N(E)), the Mott conductivity is also recovered, as shown i
this article


Efros–Shklovskii variable-range hopping

The Efros–Shklovskii (ES) variable-range hopping is a conduction model which accounts for the
Coulomb gap First introduced by M. Pollak, the Coulomb gap is a soft gap in the single-particle density of states (DOS) of a system of interacting localized electrons. Due to the long-range Coulomb interactions, the single-particle DOS vanishes at the chemic ...
, a small jump in the
density of states In solid state physics and condensed matter physics, the density of states (DOS) of a system describes the number of modes per unit frequency range. The density of states is defined as D(E) = N(E)/V , where N(E)\delta E is the number of states ...
near the
Fermi level The Fermi level of a solid-state body is the thermodynamic work required to add one electron to the body. It is a thermodynamic quantity usually denoted by ''µ'' or ''E''F for brevity. The Fermi level does not include the work required to remov ...
due to interactions between localized electrons. It was named after Alexei L. Efros and
Boris Shklovskii Boris Ionovich Shklovskii (born 1944) is a theoretical physicist, at the William I Fine Theoretical Physics Institute, University of Minnesota, specializing in condensed matter. Shklovskii earned his A.B. degree in Physics, in 1966 and a Ph.D. in ...
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 = 1/2).


See also

*
Mobility edge In condensed matter physics, Anderson localization (also known as strong localization) is the absence of diffusion of waves in a ''disordered'' medium. This phenomenon is named after the American physicist P. W. Anderson, who was the first to s ...


Notes

{{reflist Electrical phenomena Electrical resistance and conductance