1985
DOI: 10.1080/00268978500100201
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A Monte Carlo study of crystal structure transformations

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Cited by 98 publications
(59 citation statements)
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“…As the solid is not cubic, we first performed a Parrinello-Rahman 69,70 NpT MC simulation consisting of 5 × 10 5 MC cycles for equilibration plus another 5 × 10 5 MC cycles for taking averages (a MC cycle is defined as N attempts to translate or rotate a particle plus one attempt to change the the matrix that defines the simulation box). In agreement with previous calculations, the Parrinello-Rahman NpT simulations show that the ratio between the two edges of the unit cell (c/a) is slightly different from that at close-packing.…”
Section: A the Einstein Molecule Approachmentioning
confidence: 99%
“…As the solid is not cubic, we first performed a Parrinello-Rahman 69,70 NpT MC simulation consisting of 5 × 10 5 MC cycles for equilibration plus another 5 × 10 5 MC cycles for taking averages (a MC cycle is defined as N attempts to translate or rotate a particle plus one attempt to change the the matrix that defines the simulation box). In agreement with previous calculations, the Parrinello-Rahman NpT simulations show that the ratio between the two edges of the unit cell (c/a) is slightly different from that at close-packing.…”
Section: A the Einstein Molecule Approachmentioning
confidence: 99%
“…28 Volume fluctuations were performed by sampling the elements of the h matrix, where h is the 3ϫ3 matrix that relates the real (r i ) and the scaled (s i ) coordinates of the molecular centers of mass, i.e., r i ϭhs i . 27,28 Note that hϭ͕a,b,c͖, where the vectors a, b, and c define the edges of the simulation box.…”
Section: B Simulation Of the Solid Phasementioning
confidence: 99%
“…In particular we used the Monte Carlo ͑MC͒ scheme developed by Yashonath and Rao 27 in which volume fluctuations are performed by allowing for arbitrary changes in the shape of the simulation box. This is important when simulating solids since it avoids any possible metastability resulting from the constraint of fixing the shape of the simulation cell.…”
Section: B Simulation Of the Solid Phasementioning
confidence: 99%
“…Since the solid CP1 structure does not have cubic symmetry the Rahman-Parrinello 23 modification of the constant-pressure NPT Monte Carlo technique is used in order to allow for nonisotropic changes in the simulation box shape. 24 On the other hand, in the case of the disordered structure, an fcc close-packed arrangement of atoms with the molecular bonds randomly distributed 51 is generated. The number of molecules in the disordered solid was Nϭ432.…”
Section: B the Solid Phasesmentioning
confidence: 99%
“…However, brute force computational power is not the only key to the success of simulation studies; much credit is due to the development of simulation techniques for the determination of phase equilibria. These techniques are the Gibbs ensemble Monte Carlo 19 and the NPTϩtest particle methods, 20 which are very useful in determining the vaporliquid equilibria, the Gibbs-Duhem integration method, 21,22 which becomes an invaluable tool when determining fluidsolid equilibria, the Rahman-Parrinello technique, essential in the study of solid phases, 23,24 and Einstein-crystal calculations, which provide the free energies of solid phases. 25 A general approach to the determination of global phase diagrams by computer simulation would entail:…”
Section: Introductionmentioning
confidence: 99%