Gibbs ensemble Monte Carlo: Difference between revisions

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==External links==
==External links==
*[http://kea.princeton.edu/jerring/gibbs/ Gibbs ensemble Monte Carlo code] on the [http://www.princeton.edu/che/people/faculty/panagiotopoulos/group/ Panagiotopoulos Group Homepage]
*[http://kea.princeton.edu/jerring/gibbs/ Gibbs ensemble Monte Carlo code] on the [http://www.princeton.edu/che/people/faculty/panagiotopoulos/group/ Panagiotopoulos Group Homepage]
*[http://gomc.eng.wayne.edu GPU Optimized Monte Carlo] on the [https://github.com/GOMC-WSU/GOMC GOMC GitHub Page]
*[http://gomc.eng.wayne.edu GPU Optimized Monte Carlo] on the [https://github.com/GOMC-WSU GOMC GitHub Page]
[[category: Monte Carlo]]
[[category: Monte Carlo]]
[[category: Computer simulation techniques]]
[[category: Computer simulation techniques]]

Latest revision as of 23:58, 25 April 2017

Phase separation is one of the topics to which simulation techniques are increasingly applied. Different procedures are available for this purpose. For the particular case of chain systems, one can employ simulations in the semi-grand canonical ensemble, histogram reweighting, or characterization of the spinodal curve from the study of computed collective scattering function. The Gibbs ensemble Monte Carlo method has been specifically designed to characterize phase transitions. It was mainly developed by Panagiotopoulos [1] [2] to avoid the problem of finite size interfacial effects. In this method, an NVT (or NpT) ensemble containing two (or more) species is divided into two (or more) boxes. In addition to the usual particle moves in each one of the boxes, the algorithm includes moves steps to change the volume and composition of the boxes at mechanical and chemical equilibrium. Transferring a chain molecule from a box to the other requires the use of an efficient method to insert chains. The configurational bias method is specially recommended for this purpose.

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