2002
DOI: 10.1016/s0927-0256(02)00153-2
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Modeling of the site preference in ternary B2-ordered Ni–Al–Fe alloys

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Cited by 41 publications
(45 citation statements)
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“…As in previous work [7], large scale simulations of the formation of different NiTi+X (X = Pd, Pt, Hf, Al, Zr, Fe, Cu, Au) alloys, are performed using Monte Carlo -Metropolis exchange algorithms (MCAS) [6,17], which provide information regarding the thermodynamical ground state of the system, and also with a second type of simulation designed to provide a better connection to actual alloy microstructural evolution. This latter technique, a variant of the traditional Monte Carlo -Metropolis algorithm, although approximate in nature, provides a better modeling framework for diffusion processes, thus leading to final states that are more appropriate for comparison with experiment.…”
Section: Application Of the Bfs Methods To The Study Of Niti+x Alloysmentioning
confidence: 99%
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“…As in previous work [7], large scale simulations of the formation of different NiTi+X (X = Pd, Pt, Hf, Al, Zr, Fe, Cu, Au) alloys, are performed using Monte Carlo -Metropolis exchange algorithms (MCAS) [6,17], which provide information regarding the thermodynamical ground state of the system, and also with a second type of simulation designed to provide a better connection to actual alloy microstructural evolution. This latter technique, a variant of the traditional Monte Carlo -Metropolis algorithm, although approximate in nature, provides a better modeling framework for diffusion processes, thus leading to final states that are more appropriate for comparison with experiment.…”
Section: Application Of the Bfs Methods To The Study Of Niti+x Alloysmentioning
confidence: 99%
“…This latter technique, a variant of the traditional Monte Carlo -Metropolis algorithm, although approximate in nature, provides a better modeling framework for diffusion processes, thus leading to final states that are more appropriate for comparison with experiment. Known as the BANN algorithm [17], atoms of different species are allowed to exchange with only nearest-neighbor sites until an equilibrium state is reached at each temperature. In addition, the exchanges are accepted or rejected in terms of a probabilistic factor which depends on the available thermal energy.…”
Section: Application Of the Bfs Methods To The Study Of Niti+x Alloysmentioning
confidence: 99%
“…19, which is a modified version of the traditional Monte CarloMetropolis algorithm. An initial, random, structure is generated by assigning Ni and Pd atoms to rigid (i.e., no individual relaxations) lattice sites in the computational cell with periodic boundary conditions in two directions for surfaces (three directions for bulk cells).…”
Section: The Bfs Methodsmentioning
confidence: 99%
“…While BFS-based simulations using the BANN algorithm [35] show the formation of the B2 RuAl phase, as can be seen in Fig. 4(a), the results are just as clear for Ni 25 Ru 25 Al 50 , as shown in Fig.…”
Section: Modeling Of Rual-based Multicomponent Alloysmentioning
confidence: 86%