Stochastic fluctuations in gene expression far from equilibrium: 
expansion and linear noise approximation
The expansion of the master equation is used to investigate the intrinsic noise in an autoregulatory gene expression system. This expansion provides a mesoscale description of the system and is used...
expansion and linear noise approximationThe expansion of the master equation is used to investigate the intrinsic noise in an autoregulatory gene expression system. This expansion provides a mesoscale description of the system and is used...
Relativistic effects on the electronic structure and volatility of group-8 tetroxides MO4, where M=Ru, Os, and element 108, Hs
The influence of relativistic effects on properties and volatility of the group-8 tetroxides MO4, where M=Ru, Os, and element 108, Hs, was studied on the basis of results of the fully relativistic (fo...
The influence of relativistic effects on properties and volatility of the group-8 tetroxides MO4, where M=Ru, Os, and element 108, Hs, was studied on the basis of results of the fully relativistic (fo...
Direct calculation of solid-liquid equilibria from density-of-states Monte Carlo simulations
J. Chem. Phys. 122, 124109 (2005); doi:10.1063/1.1874792
Published 31 March 2005
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A density-of-states Monte Carlo method is proposed for simulations of solid-liquid phase equilibria. A modified Wang–Landau density-of-states sampling approach is used to perform a random walk in regions of potential energy and volume relevant to solid-liquid equilibrium. The method provides a direct estimate of the relative density of states [(U,V)] and thus the relative free energy within these regions, which is subsequently used to determine portions of the melting curve over wide ranges of pressure and temperature. The validity and usefulness of the method are demonstrated by performing crystallization simulations for the Lennard-Jones fluid and for NaCl.
©2005 American Institute of Physics
(U,V)] and thus the relative free energy within these regions, which is subsequently used to determine portions of the melting curve over wide ranges of pressure and temperature. The validity and usefulness of the method are demonstrated by performing crystallization simulations for the Lennard-Jones fluid and for NaCl.
©2005 American Institute of Physics
| History: | Received 19 November 2004; accepted 26 January 2005; published 31 March 2005 |
| Permalink: |
http://link.aip.org/link/?JCPSA6/122/124109/1 |
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0021-9606 (print)
1089-7690 (online)
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REFERENCES (12)
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- J. R. Morris and X. Song, J. Chem. Phys. 116, 9352 (2002).
- R. Agrawal and D. A. Kofke,
Mol. Phys. 78, 1331 (1993) . - D. Frenkel and B. Smit, Understanding Molecular Simulation From Algorithms to Applications (Academic, New York, 2002).
- J. R. Errington, J. Chem. Phys. 120, 3130 (2004).
- N. B. Wilding and A. D. Bruce, Phys. Rev. Lett. 85, 5138 (2000).
- N. Rathore, T. A. Knotts IV, and J. J. de Pablo, J. Chem. Phys. 118, 4285 (2003).
- F. Wang and D. P. Landau, Phys. Rev. Lett. 86, 2050 (2001).
- Q. Yan and J. J. de Pablo, Phys. Rev. Lett. 90, 035701 (2003).
- J. Anwar, D. Frenkel, and M. G. Noro, J. Chem. Phys. 118, 728 (2003).
- Q. Yan, R. Faller, and J. J. de Pablo, J. Chem. Phys. 116, 8745 (2002).
- R. Agrawal and D. A. Kofke,
Mol. Phys. 85, 43 (1995) . - J. Akella, S. N. Vaidya, and G. C. Kennedy, Phys. Rev. 185, 1135 (1969).
