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Avoiding a Pitfall in Dynamically Optimized Monte Carlo Method

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Book cover Computer Simulation Studies in Condensed-Matter Physics XIII

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 86))

Abstract

This paper examines a problem that might occur during the equilibration phase in simulations using the Dynamically Optimized Monte Carlo Method (DOMC) [1], a method for the simulation of anisotropic and inhomogeneous systems such as biological molecules. A criterion to detect the problem is presented along with an extension of DOMC to improve performance of the method during equilibration. The improved DOMC method is shown to perform well on test cases.

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References

  1. D. Bouzida, S. Kumar, R.H. Swendsen: Phys. Rev. A 45(12), 8894 (1992)

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  2. T. Schlick, R.D. Skeel, A.T. Brunger, L.V. Kale, J.A. Board, J. Hermans, K. Schulten: J. Comp. Phys 151, 9 (1999)

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  3. M. Karplus, G.A. Petsko: Nature 347, 631 (1990)

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© 2001 Springer-Verlag Berlin Heidelberg

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Fasnacht, M., Swendsen, R.H. (2001). Avoiding a Pitfall in Dynamically Optimized Monte Carlo Method. In: Landau, D.P., Lewis, S.P., Schüttler, HB. (eds) Computer Simulation Studies in Condensed-Matter Physics XIII. Springer Proceedings in Physics, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56577-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-56577-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41190-1

  • Online ISBN: 978-3-642-56577-9

  • eBook Packages: Springer Book Archive

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