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Variable-range hopping is a model used to describe carrier transport in a disordered
semiconductor A semiconductor is a material with electrical conductivity between that of a conductor and an insulator. Its conductivity can be modified by adding impurities (" doping") to its crystal structure. When two regions with different doping level ...
or in
amorphous solid In condensed matter physics and materials science, an amorphous solid (or non-crystalline solid) is a solid that lacks the long-range order that is a characteristic of a crystal. The terms "glass" and "glassy solid" are sometimes used synonymousl ...
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 Mott is both an English surname and given name. Notable people with the name include: Surname B * Basil Mott (1859–1938), British civil engineer *Bitsy Mott (1918–2001), American baseball player C * Catherine R. Mott (1836–1880), American ...
variable-range hopping describes low-temperature
conduction Conductor or conduction may refer to: Biology and medicine * Bone conduction, the conduction of sound to the inner ear * Conduction aphasia, a language disorder Mathematics * Conductor (ring theory) * Conductor of an abelian variety * Condu ...
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 Γ, capital Greek alphabet, Greek letter gamma) is the most common extension of the factorial function to complex numbers. Derived by Daniel Bernoulli, the gamma function \Gamma(z) is defined ...
, \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 condensed matter physics, the density of states (DOS) of a system describes the number of allowed modes or quantum state, states per unit energy range. The density of states is defined as where N(E)\delta E is the number of states in the syste ...
is not constant (odd
power law In statistics, a power law is a Function (mathematics), functional relationship between two quantities, where a Relative change and difference, relative change in one quantity results in a relative change in the other quantity proportional to the ...
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 chemi ...
, a small jump in the
density of states In condensed matter physics, the density of states (DOS) of a system describes the number of allowed modes or quantum state, states per unit energy range. The density of states is defined as where N(E)\delta E is the number of states in the syste ...
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 re ...
due to interactions between localized electrons. 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 = 1/2).


See also

* Mobility edge


Notes

{{reflist Electrical phenomena Electrical resistance and conductance