Drude model
The Drude model of electrical conduction in metals was proposed in 1900 by Paul Drude. The Drude model attempts to explain conduction in terms of the scattering of electrons (the carriers of electricity) by the relatively immobile ions in the metal that act like obstructions to the flow of electrons. The model is an application of kinetic theory. It assumes that when electrons in a solid are exposed to the electric field, they behave much like a pinball machine. The sea of constantly jittering electrons bouncing and re-bouncing off heavier, relatively immobile positive ions produce a net collective motion in the direction opposite to the applied electric field.
In modern terms this is reflected in the valence electron model where the sea of electrons is composed of the valence electrons only,[1] and not the full set of electrons available in the solid, and the scattering centers are the inner shells of tightly bound electrons to the nucleus. The scattering centers had a positive charge equivalent to the valence number of the atoms.[2] This similarity added to some computation errors in the Drude paper, ended up providing a reasonable qualitative theory of solids capable of making good predictions in certain cases and giving completely wrong results in others. Whenever people tried to give more substance and detail to the nature of the scattering centers, and the mechanics of scattering, and the meaning of the length of scattering, all these attempts ended in failures.[3]
The scattering lengths computed in the Drude model, are of the order of 10 to 100 interatomic distances, and also these could not be given proper microscopic explanations.
Drude scattering is not electron–electron scattering which is only a secondary phenomenon in the modern theory, neither nuclear scattering given electrons can be at most be absorbed by nuclei. The model remains a bit mute on the microscopic mechanisms, in modern terms this is what is now called the "primary scattering mechanism" where the underlying phenomenon can be different case per case.[4]
The model gives better predictions for metals, especially in regards to conductivity,[5] and sometimes is called Drude theory of metals. This is because metals have essentially a better approximation to the free electron model, i.e. metals do not have complex band structures, electrons behave essentially as free particles and where, in the case of metals, the effective number of de-localized electrons is essentially the same as the valence number.[6]
The two most significant results of the Drude model are an electronic equation of motion, and a linear relationship between current density JScript error: No such module "Check for unknown parameters". and electric field EScript error: No such module "Check for unknown parameters".,
Here Template:Mvar is the time, ⟨p⟩ is the average momentum per electron and Template:Mvar, and Template:Mvar are respectively the electron charge, number density, mass, and mean free time between ionic collisions. The latter expression is particularly important because it explains in semi-quantitative terms why Ohm's law, one of the most ubiquitous relationships in all of electromagnetism, should hold.[7][8][9]
History
German physicist Paul Drude proposed his model in 1900.[10][11] He was inspired by the discovery of electrons in 1897 by J.J. Thomson. He assumed a simplistic model of the solid: positively charged scattering centers and a gas of electrons, giving an electrically neutral solid.[12] The model was extended in 1905 by Hendrik Antoon Lorentz (and hence is also known as the Drude–Lorentz model)[13] to give the relation between the thermal conductivity and the electric conductivity of metals (see Lorenz number), and is a classical model.
Drude also presented his work in the 1900 International Congress of Physics during the Exposition Universelle in Paris. During the congress he defended the existence of electrons which was still under debate.[14]
While Drude's model for conductivity is still useful, his calculation of the specific heat capacity of a metal, the amount of energy needed to increase the temperature by one degree is not. In his calculation, Drude made an error, estimating the Lorenz number of Wiedemann–Franz law to be twice what it classically should have been, thus making it seem in agreement with the experimental value of the specific heat. This number is about 100 times smaller than the classical prediction but this factor cancels out with the mean electronic speed that is about 100 times bigger than Drude's calculation. It is now known that the electrons in a metal make no contribution to specific heat for temperatures around room temperature.[15]
Drude used Maxwell–Boltzmann statistics for the gas of electrons and for deriving the model, which was the only one available at that time. By replacing the statistics with the correct Fermi Dirac statistics, Sommerfeld created the free electron model, significantly improving the predictions while still having a semi-classical theory that could not predict all results of the modern quantum theory of solids.[16]
Nowadays the Drude and Sommerfeld models are still significant to understanding the qualitative behaviour of solids and to get a first qualitative understanding of a specific experimental setup.[17] This is a generic method in solid state physics, where it is typical to incrementally increase the complexity of the models to give more and more accurate predictions. It is less common to use a full-blown quantum field theory from first principles, given the complexities due to the huge numbers of particles and interactions and the little added value of the extra mathematics involved (considering the incremental gain in numerical precision of the predictions).[18]
Assumptions
Drude used the kinetic theory of gases applied to the gas of electrons moving on a fixed background of "ions"; this is in contrast with the usual way of applying the theory of gases as a neutral diluted gas with no background. The number density of the electron gas was assumed to be where Z is the effective number of de-localized electrons per ion, for which Drude used the valence number, A is the atomic mass per mole,[12] is the mass density (mass per unit volume)[12] of the "ions", and NA is the Avogadro constant. Considering the average volume available per electron as a sphere: The quantity is a parameter that describes the electron density and is often of the order of 2 or 3 times the Bohr radius, for alkali metals it ranges from 3 to 6 and some metal compounds it can go up to 10. The densities are of the order of 1000 times of a typical classical gas.[19]
The core assumptions made in the Drude model are the following:
- Drude applied the kinetic theory of a dilute gas, despite the high densities, therefore ignoring electron–electron and electron–ion interactions aside from collisions.[20]
- The Drude model considers the metal to be formed of a collection of positively charged ions from which a number of "free electrons" were detached. These may be thought to be the valence electrons of the atoms that have become delocalized due to the electric field of the other atoms.[19]
- The Drude model neglects long-range interaction between the electron and the ions or between the electrons; this is called the independent electron approximation.[19]
- The electrons move in straight lines between one collision and another; this is called free electron approximation.[19]
- The only interaction of a free electron with its environment was treated as being collisions with the impenetrable ions core.[19]
- The average time between subsequent collisions of such an electron is Template:Mvar, with a memoryless Poisson distribution. The nature of the collision partner of the electron does not matter for the calculations and conclusions of the Drude model.[19]
- After a collision event, the distribution of the velocity and direction of an electron is determined by only the local temperature and is independent of the velocity of the electron before the collision event.[19] The electron is considered to be immediately at equilibrium with the local temperature after a collision.
Removing or improving upon each of these assumptions gives more refined models, that can more accurately describe different solids:
- Improving the hypothesis of the Maxwell–Boltzmann statistics with the Fermi–Dirac statistics leads to the Drude–Sommerfeld model.
- Improving the hypothesis of the Maxwell–Boltzmann statistics with the Bose–Einstein statistics leads to considerations about the specific heat of integer spin atoms[21] and to the Bose–Einstein condensate.
- A valence band electron in a semiconductor is still essentially a free electron in a delimited energy range (i.e. only a "rare" high energy collision that implies a change of band would behave differently); the independent electron approximation is essentially still valid (i.e. no electron–electron scattering), where instead the hypothesis about the localization of the scattering events is dropped (in layman terms the electron is and scatters all over the place).[22]
Mathematical treatment
DC field
The simplest analysis of the Drude model assumes that electric field EScript error: No such module "Check for unknown parameters". is both uniform and constant, and that the thermal velocity of electrons is sufficiently high such that they accumulate only an infinitesimal amount of momentum dpScript error: No such module "Check for unknown parameters". between collisions, which occur on average every Template:Mvar seconds.[7]
Then an electron isolated at time Template:Mvar will on average have been travelling for time Template:Mvar since its last collision, and consequently will have accumulated momentum
During its last collision, this electron will have been just as likely to have bounced forward as backward, so all prior contributions to the electron's momentum may be ignored, resulting in the expression
Substituting the relations results in the formulation of Ohm's law mentioned above:
Time-varying analysis
The dynamics may also be described by introducing an effective drag force. At time t = t0 + dtScript error: No such module "Check for unknown parameters". the electron's momentum will be: where can be interpreted as generic force (e.g. Lorentz force) on the carrier or more specifically on the electron. is the momentum of the carrier with random direction after the collision (i.e. with a momentum ) and with absolute kinetic energy
On average, a fraction of of the electrons will not have experienced another collision, the other fraction that had the collision on average will come out in a random direction and will contribute to the total momentum to only a factor which is of second order.[23]
With a bit of algebra and dropping terms of order , this results in the generic differential equation
The second term is actually an extra drag force or damping term due to the Drude effects.
Constant electric field
At time t = t0 + dtScript error: No such module "Check for unknown parameters". the average electron's momentum will be and then where ⟨p⟩Script error: No such module "Check for unknown parameters". denotes average momentum and Template:Mvar the charge of the electrons. This, which is an inhomogeneous differential equation, may be solved to obtain the general solution of for p(t)Script error: No such module "Check for unknown parameters".. The steady state solution, Template:Sfrac⟨p⟩ = 0Script error: No such module "Check for unknown parameters"., is then
As above, average momentum may be related to average velocity and this in turn may be related to current density, and the material can be shown to satisfy Ohm's law with a DC-conductivity σ0Script error: No such module "Check for unknown parameters".:
AC field
The Drude model can also predict the current as a response to a time-dependent electric field with an angular frequency Template:Mvar. The complex conductivity is
Here it is assumed that: In engineering, Template:Mvar is generally replaced by −iScript error: No such module "Check for unknown parameters". (or −jScript error: No such module "Check for unknown parameters".) in all equations, which reflects the phase difference with respect to origin, rather than delay at the observation point traveling in time.
The imaginary part indicates that the current lags behind the electrical field. This happens because the electrons need roughly a time Template:Mvar to accelerate in response to a change in the electrical field. Here the Drude model is applied to electrons; it can be applied both to electrons and holes; i.e., positive charge carriers in semiconductors. The curves for σ(ω)Script error: No such module "Check for unknown parameters". are shown in the graph.
If a sinusoidally varying electric field with frequency is applied to the solid, the negatively charged electrons behave as a plasma that tends to move a distance xScript error: No such module "Check for unknown parameters". apart from the positively charged background. As a result, the sample is polarized and there will be an excess charge at the opposite surfaces of the sample.
The dielectric constant of the sample is expressed as where is the electric displacement and is the polarization density.
The polarization density is written as and the polarization density with nScript error: No such module "Check for unknown parameters". electron density is After a little algebra the relation between polarization density and electric field can be expressed as The frequency dependent dielectric function of the solid is
Template:Math proof At a resonance frequency , called the plasma frequency, the dielectric function changes sign from negative to positive and real part of the dielectric function drops to zero. The plasma frequency represents a plasma oscillation resonance or plasmon. The plasma frequency can be employed as a direct measure of the square root of the density of valence electrons in a solid. Observed values are in reasonable agreement with this theoretical prediction for a large number of materials.[24] Below the plasma frequency, the dielectric function is negative and the field cannot penetrate the sample. Light with angular frequency below the plasma frequency will be totally reflected. Above the plasma frequency the light waves can penetrate the sample, a typical example are alkaline metals that becomes transparent in the range of ultraviolet radiation.[25]
Thermal conductivity of metals
One great success of the Drude model is the explanation of the Wiedemann-Franz law. This was due to a fortuitous cancellation of errors in Drude's original calculation. Drude predicted the value of the Lorenz number: Experimental values are typically in the range of for metals at temperatures between 0 and 100 degrees Celsius.[26] Template:Math proof
Thermopower
A generic temperature gradient when switched on in a thin bar will trigger a current of electrons towards the lower temperature side, given the experiments are done in an open circuit manner this current will accumulate on that side generating an electric field countering the electric current. This field is called thermoelectric field: and QScript error: No such module "Check for unknown parameters". is called thermopower. The estimates by Drude are a factor of 100 low given the direct dependency with the specific heat. where the typical thermopowers at room temperature are 100 times smaller, of the order of microvolts.[27] Template:Math proof
Accuracy of the model
The Drude model provides a very good explanation of DC and AC conductivity in metals, the Hall effect, and the magnetoresistance[23] in metals near room temperature. The model also explains partly the Wiedemann–Franz law of 1853.
Drude formula is derived in a limited way, namely by assuming that the charge carriers form a classical ideal gas. When quantum theory is considered, the Drude model can be extended to the free electron model, where the carriers follow Fermi–Dirac distribution. The conductivity predicted is the same as in the Drude model because it does not depend on the form of the electronic speed distribution. However, Drude's model greatly overestimates the electronic heat capacity of metals. In reality, metals and insulators have roughly the same heat capacity at room temperature. Also, the Drude model does not explain the scattered trend of electrical conductivity versus frequency above roughly 2 THz.[28][29]
The model can also be applied to positive (hole) charge carriers.
Drude response in real materials
The characteristic behavior of a Drude metal in the time or frequency domain, i.e. exponential relaxation with time constant Template:Mvar or the frequency dependence for σ(ω)Script error: No such module "Check for unknown parameters". stated above, is called Drude response. In a conventional, simple, real metal (e.g. sodium, silver, or gold at room temperature) such behavior is not found experimentally, because the characteristic frequency Template:Itco−1Script error: No such module "Check for unknown parameters". is in the infrared frequency range, where other features that are not considered in the Drude model (such as band structure) play an important role.[28] But for certain other materials with metallic properties, frequency-dependent conductivity was found that closely follows the simple Drude prediction for σ(ω)Script error: No such module "Check for unknown parameters".. These are materials where the relaxation rate Template:Itco−1Script error: No such module "Check for unknown parameters". is at much lower frequencies.[28] This is the case for certain doped semiconductor single crystals,[30] high-mobility two-dimensional electron gases,[31] and heavy-fermion metals.[32]
See also
References
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General
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External links
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