2010
DOI: 10.1016/j.physa.2010.05.002
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Stochastic generalization for a hyperbolic model of spinodal decomposition

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Cited by 37 publications
(27 citation statements)
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“…The noise is affected on the structure with the "shake-up" effect [30,32]. Indeed, locally metastable and structurally mixed states have to be correlated in time and in space, due to the overlapping of the fluctuating atomic configurations [33,34]. In this case, a colored noise should be added to the MPFC equation.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The noise is affected on the structure with the "shake-up" effect [30,32]. Indeed, locally metastable and structurally mixed states have to be correlated in time and in space, due to the overlapping of the fluctuating atomic configurations [33,34]. In this case, a colored noise should be added to the MPFC equation.…”
Section: Resultsmentioning
confidence: 99%
“…In this case, a colored noise should be added to the MPFC equation. Previously, in the analysis of spinodal decomposition, it was notable shown that the consistently introduced colored noise influenced the pattern formation in a great extent [34].…”
Section: Resultsmentioning
confidence: 99%
“…Розглянемо клас бінарних систем, що описуються моделем фазово-го розшарування Кана-Хілліярда-Кука з гіперболічним транспор-том (внаслідок ефектів пам'яті) [95,96]. Для широкого кола фізич-них систем, віддалених від рівноваги, таких як неньютонові ріди-ни, швидко охолоджені кристалізовані стопи та системи, матеріяли глибоко заморожені в спинодальній області або загалом системи з пам'яттю, гіпотеза локальної рівноваги не спрацьовує [97,98].…”
Section: статистичне представлення бінарної системи параболічного типunclassified
“…Following the general theory of dynamical stochastic systems the thermally sustained diffusion flux J D can be considered as a dynamical quantity and described by a relaxational MaxwellCattaneo equation [37] with a stochastic contribution ξ, representing flux fluctuations appearing always at a nonzero temperature T . Therefore, the time evolution of the diffusion flux can be described by the Langevin equation of the form [37][38][39] …”
Section: Modelmentioning
confidence: 99%
“…[42], whilst the action of the stochastic multiplicative component of the diffusion flux on the pattern selecting processes in binary systems was considered in Ref. [39].…”
Section: Modelmentioning
confidence: 99%