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Recoil growth algorithm for chain molecules with continuous interactions
Authors:STYLIANI CONSTA  THIJS J H VLUGT  JOCHEM WICHERS HOETH  BEREND SMIT  DAAN FRENKEL
Institution:1. FOM Institute of Atomic and Molecular Physics (AMOLF) , Kruislaan 407 SJ, Amsterdam, 1098, The Netherlands;2. Department of Chemical Engineering , University of Amsterdam , Nieuwe Achtergracht 166, Amsterdam, 1018 WV, The Netherlands;3. FOM Institute of Atomic and Molecular Physics (AMOLF) , Kruislaan 407 SJ, Amsterdam, 1098, The Netherlands;4. Department of Chemical Engineering , University of Amsterdam , Nieuwe Achtergracht 166, Amsterdam, 1018 WV, The Netherlands
Abstract:The recoil growth (RG) scheme is a dynamic Monte Carlo algorithm that has been suggested as an improvement over the configurational bias Monte Carlo (CBMC) method (Consta, S., Wilding, N. B., Frenkel, D. and Alexandrowicz, Z., 1999, J. chem. Phys., 110, 3220). The RG method had originally been tested for hard core polymers on a lattice, and it was found that RG outperforms CBMC for dense systems and long chain molecules. In the present paper, the RG scheme is extended to the practically more relevant case of off-lattice chain molecules with continuous interactions. It is found that for longer chain molecules RG becomes over an order of magnitude more efficient than CBMC. However, other schemes are better suited to the computation of the excess chemical potential. Moreover, it is more difficult to parallelize RG than CBMC.
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