Radial Distribution Function
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistical mechanics, a radial distribution function (RDF), g(r), describes how the atomic density varies as a function of the distance from one particular atom. More precisely, if there is an atom at the origin 0, and if n = N/V is the average number density, then the local density at distance r from O is ng(r). Given a potential energy function, the radial distribution function can be found either via computer simulation methods like the Monte Carlo method, or v...
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistical mechanics, a radial distribution function (RDF), g(r), describes how the atomic density varies as a function of the distance from one particular atom. More precisely, if there is an atom at the origin 0, and if n = N/V is the average number density, then the local density at distance r from O is ng(r). Given a potential energy function, the radial distribution function can be found either via computer simulation methods like the Monte Carlo method, or via the Ornstein-Zernike equation, using approximative closure relations like the Perckus-Yevick approximation or the Hypernetted Chain Theory.
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