Exploring replica-exchange Wang-Landau sampling in higher-dimensional parameter space.

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Autor(es): dc.creatorValentim, Alexandra-
Autor(es): dc.creatorRocha, Julio Cesar Siqueira-
Autor(es): dc.creatorTsai, Shan-Ho-
Autor(es): dc.creatorLi, Ying Wai-
Autor(es): dc.creatorEisembach, Markus-
Autor(es): dc.creatorSantos, Carlos Eduardo Fiore dos-
Autor(es): dc.creatorLandau, David P.-
Data de aceite: dc.date.accessioned2025-08-21T15:28:03Z-
Data de disponibilização: dc.date.available2025-08-21T15:28:03Z-
Data de envio: dc.date.issued2016-10-07-
Data de envio: dc.date.issued2016-10-07-
Data de envio: dc.date.issued2015-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/7045-
Fonte completa do material: dc.identifierhttps://doi.org/10.1088/1742-6596/640/1/012006-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1015811-
Descrição: dc.descriptionWe considered a higher-dimensional extension for the replica-exchange WangLandau algorithm to perform a random walk in the energy and magnetization space of the two-dimensional Ising model. This hybrid scheme combines the advantages of Wang-Landau and Replica-Exchange algorithms, and the one-dimensional version of this approach has been shown to be very efficient and to scale well, up to several thousands of computing cores. This approach allows us to split the parameter space of the system to be simulated into several pieces and still perform a random walk over the entire parameter range, ensuring the ergodicity of the simulation. Previous work, in which a similar scheme of parallel simulation was implemented without using replica exchange and with a different way to combine the result from the pieces, led to discontinuities in the final density of states over the entire range of parameters. From our simulations, it appears that the replica-exchange Wang-Landau algorithm is able to overcome this difficulty, allowing exploration of higher parameter phase space by keeping track of the joint density of states.-
Formato: dc.formatapplication/pdf-
Direitos: dc.rightsaberto-
Direitos: dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Fonte: <http://iopscience.iop.org/article/10.1088/1742-6596/640/1/012006/meta>. Acesso em: 03 out. 2016-
Título: dc.titleExploring replica-exchange Wang-Landau sampling in higher-dimensional parameter space.-
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