Uniform-acceptance force-bias Monte Carlo method with time scale to study solid-state diffusion

被引:71
作者
Mees, Maarten J. [1 ,2 ]
Pourtois, Geoffrey [2 ,3 ]
Neyts, Erik C. [3 ]
Thijsse, Barend J. [4 ]
Stesmans, Andre [1 ]
机构
[1] Univ Louvain, Dept Phys, B-3001 Louvain, Belgium
[2] IMEC, B-3001 Louvain, Belgium
[3] Univ Antwerp, Dept Chem, B-2610 Antwerp, Belgium
[4] Delft Univ Technol, Dept Mat Sci & Engn, NL-2628 CD Delft, Netherlands
关键词
TEMPERATURE-ACCELERATED DYNAMICS; EMBEDDED-ATOM-METHOD; MOLECULAR-DYNAMICS; INFREQUENT EVENTS; CARBON NANOTUBE; SELF-DIFFUSION; SIMULATION; LIQUIDS; GROWTH; METROPOLIS;
D O I
10.1103/PhysRevB.85.134301
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Monte Carlo (MC) methods have a long-standing history as partners of molecular dynamics (MD) to simulate the evolution of materials at the atomic scale. Among these techniques, the uniform-acceptance force-bias Monte Carlo (UFMC) method [G. Dereli, Mol. Simul. 8, 351 (1992)] has recently attracted attention [M. Timonova et al., Phys. Rev. B 81, 144107 (2010)] thanks to its apparent capacity of being able to simulate physical processes in a reduced number of iterations compared to classical MD methods. The origin of this efficiency remains, however, unclear. In this work we derive a UFMC method starting from basic thermodynamic principles, which leads to an intuitive and unambiguous formalism. The approach includes a statistically relevant time step per Monte Carlo iteration, showing a significant speed-up compared to MD simulations. This time-stamped force-bias Monte Carlo (tfMC) formalism is tested on both simple one-dimensional and three-dimensional systems. Both test-cases give excellent results in agreement with analytical solutions and literature reports. The inclusion of a time scale, the simplicity of the method, and the enhancement of the time step compared to classical MD methods make this method very appealing for studying the dynamics of many-particle systems.
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页数:9
相关论文
共 35 条
[1]   Collective and single particle diffusion on surfaces [J].
Ala-Nissila, T ;
Ferrando, R ;
Ying, SC .
ADVANCES IN PHYSICS, 2002, 51 (03) :949-1078
[2]   Predicting rare events in molecular dynamics [J].
Anderson, JB .
ADVANCES IN CHEMICAL PHYSICS, VOL 91, 1995, 91 :381-431
[3]   Jump processes in surface diffusion [J].
Antczak, Grazyna ;
Ehrlich, Gert .
SURFACE SCIENCE REPORTS, 2007, 62 (02) :39-61
[4]   Self-diffusion of adatoms, dimers, and vacancies on Cu(100) [J].
Boisvert, G ;
Lewis, LJ .
PHYSICAL REVIEW B, 1997, 56 (12) :7643-7655
[5]   EMBEDDED-ATOM METHOD - DERIVATION AND APPLICATION TO IMPURITIES, SURFACES, AND OTHER DEFECTS IN METALS [J].
DAW, MS ;
BASKES, MI .
PHYSICAL REVIEW B, 1984, 29 (12) :6443-6453
[6]   STILLINGER-WEBER TYPE POTENTIALS IN MONTE-CARLO SIMULATION OF AMORPHOUS-SILICON [J].
DERELI, G .
MOLECULAR SIMULATION, 1992, 8 (06) :351-360
[7]   1977 RIETZ LECTURE - BOOTSTRAP METHODS - ANOTHER LOOK AT THE JACKKNIFE [J].
EFRON, B .
ANNALS OF STATISTICS, 1979, 7 (01) :1-26
[8]   Adatom self-diffusion processes on (001) copper surface by molecular dynamics [J].
Evangelakis, GA ;
Papanicolaou, NI .
SURFACE SCIENCE, 1996, 347 (03) :376-386
[9]   Accelerated molecular dynamics simulation of thin-film growth with the bond-boost method [J].
Fichthorn, Kristen A. ;
Miron, Radu A. ;
Wang, Yushan ;
Tiwary, Yogesh .
JOURNAL OF PHYSICS-CONDENSED MATTER, 2009, 21 (08)
[10]  
FOILES SM, 1986, PHYS REV B, V33, P7983, DOI 10.1103/PhysRevB.33.7983