Radial distribution function: Difference between revisions

Revision as of 18:35, 4 March 2015

Revision as of 14:57, 30 March 2015

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Given a [[potential energy]] function, the radial distribution function can be computed either via computer simulation methods like the [[Monte Carlo method]], or via the [[Ornstein-Zernike equation]], using approximative closure relations like the [[Percus-Yevick approximation]] or the [[Hypernetted-chain equation|Hypernetted Chain Theory]]. It can also be determined experimentally, by radiation scattering techniques or by direct visualization for large enough (micrometer-sized) particles via traditional or confocal microscopy.

The radial distribution function is of fundamental importance insince thermodynamicsit becausecan be used, using the [[Kirkwood–Buff solution theory]], to link the microscopic details to macroscopic thermodynamicproperties. quantitiesBy canthe usuallyreversion beof determinedthe Kirkwood-Buff theory, it is possible to attain the microscopic details of the radial distribution function from <math>g(r)</math>the macroscopic properties.

in thermodynamics because the macroscopic thermodynamic quantities can usually be determined from <math>g(r)</math>. That can be done using which link this microscopic feature to the macroscopic

==Definition==