Improving the efficiency of the configurational-bias Monte Carlo algorithm

Author： Vlugt T. J. H.   Martin M. G.   Smit B.   Siepmann J. I.   Krishna R.  

Publisher： Taylor & Francis Ltd

ISSN： 1362-3028

Source： Molecular Physics, Vol.94, Iss.4, 1998-07, pp. : 727-733

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Using arbitrary trial distributions to improve intramolecular sampling in configurational-bias Monte Carlo

By Martin Marcus G.   Frischknecht Amalie L.  

Molecular Physics, Vol. 104, Iss. 15, 2006-08 ,pp. : 2439-2456

Taylor & Francis Ltd

Access to resources Recommend Favorite

Continuum-configurational-bias Monte Carlo simulations of long-chain alkanes

By de Pablo Juan   Laso Manuel   Siepmann J. Ilja   Suter Ulrich  

Molecular Physics, Vol. 80, Iss. 1, 1993-09 ,pp. : 55-63

Taylor & Francis Ltd

Access to resources Recommend Favorite

Configurational bias Monte Carlo: a new sampling scheme for flexible chains

By Siepmann Jörn   Frenkel Daan  

Molecular Physics, Vol. 75, Iss. 1, 1992-01 ,pp. : 59-70

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comparison of reverse Monte Carlo algorithm variants via the accuracy of their three-particle correlation functions and configurational temperatures

By Toth Gergely   Baranyai Andras  

Molecular Physics, Vol. 97, Iss. 3, 1999-08 ,pp. : 339-346

Taylor & Francis Ltd

Access to resources Recommend Favorite

Improving the sampling efficiency of Monte Carlo molecular simulations: an evolutionary approach

By Leblanc Benoit   Braunschweig Bertrand   Toulhoat Hervé   Lutton Evelyne  

Molecular Physics, Vol. 101, Iss. 22, 2003-11 ,pp. : 3293-3308

Taylor & Francis Ltd

Access to resources Recommend Favorite