Investigation of nucleation and grain growth in 2-dimensional systems by using generalized Monte Carlo simulations

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dc.contributor.authorCetinel H.
dc.contributor.authorKayacan O.
dc.contributor.authorOzaydin D.
dc.date.accessioned2024-07-22T08:18:12Z
dc.date.available2024-07-22T08:18:12Z
dc.date.issued2013
dc.description.abstractIn this study, nucleation and grain growth was studied by using 2-dimensional generalized Monte Carlo simulations and experiments. As an attempt to improve the JMAK model, we proposed a new differential equation to be able to model nucleation and growth phenomena using nonextensive thermostatistics. One of the reasons that we would like to perform generalized Monte Carlo simulations in studying of nucleation and grain growth phenomena is that the generalized Monte Carlo algorithm was shown to be more effective than the standard Monte Carlo algorithm and also than the standard Molecular Dynamic algorithm in locating the minimum energy configuration. Therefore, for a given temperature, the fact that a configuration of the system with lower energy could be obtained by using the generalized Monte Carlo simulation means that a different textural configuration of grain growth could be also expected. In this respect, it is possible to say that the nonextensive statistics might be an appropriate tool in studying of nucleation and growth phenomena. © 2013 Elsevier B.V. All rights reserved.
dc.identifier.DOI-ID10.1016/j.physa.2013.04.040
dc.identifier.issn03784371
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/17236
dc.language.isoEnglish
dc.publisherElsevier B.V.
dc.subjectComputer simulation
dc.subjectCrystallization
dc.subjectDifferential equations
dc.subjectEnzyme kinetics
dc.subjectGrain growth
dc.subjectMolecular dynamics
dc.subjectNucleation
dc.subjectPhase transitions
dc.subjectThermostats
dc.subjectGrowth phenomena
dc.subjectLower energies
dc.subjectMinimum energy configuration
dc.subjectMonte carlo algorithms
dc.subjectNon-extensive thermostatistics
dc.subjectNonextensive statistics
dc.subjectNucleation and growth
dc.subjectTsallis thermostatistics
dc.subjectMonte Carlo methods
dc.titleInvestigation of nucleation and grain growth in 2-dimensional systems by using generalized Monte Carlo simulations
dc.typeArticle

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