Electrical resistivity (also known as resistivity, specific electrical resistance, or volume resistivity) is a measure of how strongly a material opposes the flow of electric current. A low resistivity indicates a material that readily allows the movement of electric charge. The SI unit of electrical resistivity is the ohm metre (Ωm). It is commonly represented by the Greek letter ρ (rho).

Electrical conductivity or specific conductance is the reciprocal quantity, and measures a material's ability to conduct an electric current. It is commonly represented by the Greek letter σ (sigma), but κ (esp. in electrical engineering) or γ are also occasionally used. Its SI unit is siemens per metre (S·m⁻¹) and CGSE unit is reciprocal second (s⁻¹):

:$\backslash sigma\; =\; \{1\backslash over\backslash rho\}.$

Definitions

Scalar form

Electrical resistivity ''ρ'' (Greek: rho) is defined by,

:$\backslash rho=\{E\; \backslash over\; J\}\; \backslash ,\backslash !$

where

:''ρ'' is the static resistivity (measured in ohm-metres, Ω-m) :''E'' is the magnitude of the electric field (measured in volts per metre, V/m), :''J'' is the magnitude of the current density (measured in amperes per square metre, A/m²),

and ''E'' and ''J'' are both inside the conductor.

Many resistors and conductors have a uniform cross section with a uniform flow of electric current and are made of one material. (See the diagram to the right.) In this case, the above definition of ''ρ'' leads to:

:$\backslash rho\; =\; R\; \backslash frac\{A\}\{\backslash ell\},\; \backslash ,\backslash !$

where

:''R'' is the electrical resistance of a uniform specimen of the material (measured in ohms, Ω) :''$\backslash ell$'' is the length of the piece of material (measured in metres, m) :''A'' is the cross-sectional area of the specimen (measured in square metres, m²).

The reason resistivity has the dimension units of ohm-metres can be seen by transposing the definition to make resistance the subject:

:$R\; =\; \backslash rho\; \backslash frac\{\backslash ell\}\{A\}\; \backslash ,\backslash !$

The resistance of a given sample will increase with the length, but decrease with greater cross-sectional area. Resistance is measured in ohms. Length over area has units of 1/distance. To end up with ohms, resistivity must be in the units of "ohms × distance" (SI ohm-metre, US ohm-inch).

In a hydraulic analogy, increasing the cross-sectional area of a pipe reduces its resistance to flow, and increasing the length increases resistance to flow (and pressure drop for a given flow).

Tensor generalization

The above scalar equation:

$J\; =\; \backslash sigma\; E\; \backslash ,\backslash !$

or equivalently

$E\; =\; \backslash rho\; J\; \backslash ,\backslash !$

is only valid for resistors and conductors which are homogeneous, that is the conductivity is uniform throughout the conductor, carrying a uniform electric current per unit cross-sectional area ''J'', through a uniform internal electric field ''E'', all in one dimension only.

For all three dimensions we have at all points (r = position vector at a point in the conductor):

$\backslash mathbf\{J\}\; =\; \backslash sigma\; \backslash mathbf\{E\}\; ,\backslash ,\backslash !$

in which (1, 2, 3 refer to components)

\mathbf{J} = \mathbf{J}\left( \mathbf{r} \right ) = \begin{pmatrix} & J_1 \\ & J_2 \\ & J_3 \end{pmatrix} = \begin{pmatrix} & J_1 \left( \mathbf{r} \right ) \\ & J_2 \left( \mathbf{r} \right ) \\ & J_3 \left( \mathbf{r} \right ) \end{pmatrix} , \quad

\sigma = \sigma\left( \mathbf{r} \right ). \,\!

This is still only true if E and J are collinear, under the same conditions as above.

Since E and J are generally vector fields, the material may not be homeoegneous so the conductivity may vary from point to point, and the E and J are not always collinear at the same point, the definition generalizes by treating conductivity as a rank-2 tensor field σ:

$\backslash mathbf\{J\}\; =\; \backslash boldsymbol\{\backslash sigma\}\; \backslash mathbf\{E\}\; ,\backslash ,\backslash !$

where rank-2 tensors can be ''represented'' by matrices

equivalent to the matrix equation

which allows a simple relation between components to be read off, using the Einstein summation convention;

$J\_i\; =\; \backslash sigma\_\{ij\}\; E\_j\; .\backslash ,\backslash !$

The above tensor equation serves as a definition for the conductivity tensor (or field). A simalar analysis for resistivity can be done, introducing a resistivity tensor (or field) in an identical form,

$\backslash mathbf\{E\}\; =\; \backslash boldsymbol\{\backslash rho\}\; \backslash mathbf\{J\}\; ,\backslash ,\backslash !$

in which

so

$E\_i\; =\; \backslash rho\_\{ij\}\; J\_j\; .\backslash ,\backslash !$

==Resistivity of various materials==

A conductor such as a metal has high conductivity and a low resistivity.

An insulator like glass has low conductivity and a high resistivity.

The conductivity of a semiconductor is generally intermediate, but varies widely under different conditions, such as exposure of the material to electric fields or specific frequencies of light, and, most important, with temperature and composition of the semiconductor material.

The degree of doping in semiconductors makes a large difference in conductivity. To a point, more doping leads to higher conductivity. The conductivity of a solution of water is highly dependent on its concentration of dissolved salts, and other chemical species that ionize in the solution. Electrical conductivity of water samples is used as an indicator of how salt-free, ion-free, or impurity-free the sample is; the purer the water, the lower the conductivity (the higher the resistivity). Conductivity measurements in water are often reported as ''specific conductance'', relative to the conductivity of pure water at 25 °C. An EC meter is normally used to measure conductivity in a solution.

This table shows the resistivity, conductivity and temperature coefficient of various materials at 20 °C (68 °F)

6.30×10⁷ 1.68e−8 1.72e-8 2.44e−8 2.82e−8 3.36e−8 5.60e−8 5.90e−8 6.99e−8 9.28e−8 1.0e−7 1.06e−7 1.09e−7 2.2e−7 4.20e−7 4.82e−7 4.9e−7 6.897e−7 9.8e−7 1.10e−6 5e-4 to 8e−4 2.5e-6 to 5.0e−6 ⊥basal plane3.0×10⁻³ //basal plane data-sort-value="1E12" 4.6e−1 2e−1 2e1 to 2e3 1.8e5 6.40e2 5e-7 to 10e-3 10e10 to 10e14 1e13 1e15 1.3e16 to 3.3e16 1e17 7.5e17 10e20 10e22 to 10e24

Material	ρ [Ω·m] at	σ [S/m] at	Temperature coefficient [K−1]	Reference
Silver	1.59e−8	|	0.0038
Copper	|	5.96×107	0.0039
Annealing (metallurgy)	Annealed Copper	|	5.80×107
Gold	|	4.52×107	0.0034
Aluminium	|	3.5×107	0.0039
Calcium	|	2.98×107	0.0041
Tungsten	|	1.79×107	0.0045
Zinc	|	1.69×107	0.0037
Nickel	|	1.43×107	0.006
Lithium	|	1.08×107	0.006
Iron	|	1.00×107	0.005
Platinum	|	9.43×106	0.00392
Tin	|	9.17×106	0.0045
Lead	|	4.55×106	0.0039
Titanium	|	2.38×106	X
Manganin	|	2.07×106	0.000002
Constantan	|	2.04×106	0.000008
Stainless steel	|	1.450×106
Mercury (element)	Mercury	|	1.02×106	0.0009
Nichrome	|	9.09×105	0.0004
Amorphous carbon	Carbon (amorphous)	|	1.25 to 2×103	−0.0005
Graphite	Carbon (graphite)	|	2 to 3×105 ⊥basal plane3.3×102 //basal plane
Diamond	Carbon (diamond)	1e12 ||	~10-13
Germanium	|	2.17	−0.048
Sea water	|	4.8
Drinking water	|	5×10-4 to 5×10-2
Deionized water	|	5.5 × 10−6
Silicon	|	1.56×10-3	−0.075
GaAs	|	5×10-8 to 103
Glass	|	10-11 to 10-15	?
Hard rubber	|	10-14	?
Sulfur	|	10-16	?
Air	|	3 to 8 × 10−15
Paraffin	|	10-18	?
Quartz (fused)	|	1.3×10-18	?
Polyethylene terephthalate	PET	|	10-21	?
PTFE	Teflon	|	10-25 to 10-23	?

The effective temperature coefficient varies with temperature and purity level of the material. The 20 °C value is only an approximation when used at other temperatures. For example, the coefficient becomes lower at higher temperatures for copper, and the value 0.00427 is commonly specified at 0 °C. For further reading: http://library.bldrdoc.gov/docs/nbshb100.pdf.

The extremely low resistivity (high conductivity) of silver is characteristic of metals. George Gamow tidily summed up the nature of the metals' dealings with electrons in his science-popularizing book, ''One, Two, Three...Infinity'' (1947): "The metallic substances differ from all other materials by the fact that the outer shells of their atoms are bound rather loosely, and often let one of their electrons go free. Thus the interior of a metal is filled up with a large number of unattached electrons that travel aimlessly around like a crowd of displaced persons. When a metal wire is subjected to electric force applied on its opposite ends, these free electrons rush in the direction of the force, thus forming what we call an electric current." More technically, the free electron model gives a basic description of electron flow in metals.

Temperature dependence

In general, electrical resistivity of metals increases with temperature, while the resistivity of intrinsic semiconductors decreases with increasing temperature. In both cases, electron–phonon interactions can play a key role. At high temperatures, the resistance of a metal increases linearly with temperature. As the temperature of a metal is reduced, the temperature dependence of resistivity follows a power law function of temperature. Mathematically the temperature dependence of the resistivity ρ of a metal is given by the Bloch–Grüneisen formula:

:$\backslash rho(T)=\backslash rho(0)+A\backslash left(\backslash frac\{T\}\{\backslash Theta\_R\}\backslash right)^n\backslash int\_0^\{\backslash frac\{\backslash Theta\_R\}\{T\}\}\backslash frac\{x^n\}\{(e^x-1)(1-e^\{-x\})\}dx$

where $\backslash rho(0)$ is the residual resistivity due to defect scattering, A is a constant that depends on the velocity of electrons at the Fermi surface, the Debye radius and the number density of electrons in the metal. $\backslash Theta\_R$ is the Debye temperature as obtained from resistivity measurements and matches very closely with the values of Debye temperature obtained from specific heat measurements. n is an integer that depends upon the nature of interaction:

#n=5 implies that the resistance is due to scattering of electrons by phonons (as it is for simple metals) #n=3 implies that the resistance is due to s-d electron scattering (as is the case for transition metals) #n=2 implies that the resistance is due to electron–electron interaction. As the temperature of the metal is sufficiently reduced (so as to 'freeze' all the phonons), the resistivity usually reaches a constant value, known as the residual resistivity. This value depends not only on the type of metal, but on its purity and thermal history. The value of the residual resistivity of a metal is decided by its impurity concentration. Some materials lose all electrical resistivity at sufficiently low temperatures, due to an effect known as superconductivity.

An even better approximation of the temperature dependence of the resistivity of a semiconductor is given by the Steinhart–Hart equation:

:$1/T\; =\; A\; +\; B\; \backslash ln(\backslash rho)\; +\; C\; (\backslash ln(\backslash rho))^3\; \backslash ,$

where ''A'', ''B'' and ''C'' are the so-called Steinhart–Hart coefficients.

This equation is used to calibrate thermistors.

In non-crystalline semi-conductors, conduction can occur by charges quantum tunnelling from one localised site to another. This is known as variable range hopping and has the characteristic form of $\backslash rho\; =\; Ae^\{T^\{-1/n\}\}$, where n=2,3,4 depending on the dimensionality of the system.

Complex resistivity and conductivity

When analyzing the response of materials to alternating electric fields, in applications such as electrical impedance tomography, it is necessary to replace resistivity with a complex quantity called impeditivity (in analogy to electrical impedance). Impeditivity is the sum of a real component, the resistivity, and an imaginary component, the reactivity (in analogy to reactance). The magnitude of Impeditivity is the square root of sum of squares of magnitudes of resistivity and reactivity.

Conversely, in such cases the conductivity must be expressed as a complex number (or even as a matrix of complex numbers, in the case of anisotropic materials) called the ''admittivity''. Admittivity is the sum of a real component called the conductivity and an imaginary component called the susceptivity.

An alternative description of the response to alternating currents uses a real (but frequency-dependent) conductivity, along with a real permittivity. The larger the conductivity is, the more quickly the alternating-current signal is absorbed by the material (i.e., the more opaque the material is). For details, see Mathematical descriptions of opacity.

Resistivity density products

In some applications where the weight of an item is very important resistivity density products are more important than absolute low resistivity- it is often possible to make the conductor thicker to make up for a higher resistivity; and then a low resistivity density product material (or equivalently a high conductance to density ratio) is desirable. For example, for long distance overhead power lines— aluminium is frequently used rather than copper because it is lighter for the same conductance.

! Material	! Resistivity [nΩ·m]	! Density [g/cm³]	! Resistivity-density product [nΩ·m·g/cm³]
Sodium	47.7	0.97	46
Lithium	92.8	0.53	49
Calcium	33.6	1.55	52
Potassium	72.0	0.89	64
Beryllium	35.6	1.85	66
Aluminium	26.50	2.70	72
Magnesium	43.90	1.74	76.3
Copper	16.78	8.96	150
Silver	15.87	10.49	166
Gold	22.14	19.30	427
Iron	96.1	7.874	757

Silver, although it is the least resistive metal known, has a high density and does poorly by this measure. Calcium and the alkali metals make for the best products, but are rarely used for conductors due to their high reactivity with water and oxygen. Aluminium is far more stable. And the most important attribute, the current price, excludes the best choice: Beryllium.

See also

Conductivity near the percolation threshold

Electric effective resistance

Electrical resistivities of the elements (data page)

Electrical resistivity imaging

Ohm's law

Sheet resistance

SI electromagnetism units

Skin depth

Superconductivity

Notes and references

;Notes

;References

Further reading

External links

New nanomaterial better efficient conductor

Resistivity & Mobility Calculator/Graph from BYU cleanroom

Bucknell University

Category:Electronics terms Category:Physical quantities Category:Materials science

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