IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v509y2018icp361-368.html
   My bibliography  Save this article

Ordered metastable states in the Potts model and their connection with the superheated solid state

Author

Listed:
  • Moreno, Felipe
  • Davis, Sergio
  • Loyola, Claudia
  • Peralta, Joaquín

Abstract

The superheating effect, in which a solid is heated well above its melting temperature and remains in an ordered, metastable phase, is a well-known phenomenon in materials science. Superheating can be observed experimentally under carefully controlled conditions, and more routinely in atomistic computer simulations. In the context of simulations of superheating, the so-called Z-method is a recently developed technique which allows a precise characterization of the metastable solid state and the melting temperature. However, metastable states are also present in other first-order phase transitions such as the order–disorder transition in spin systems. In spite of all the available work on the behavior of superheated solids, there have been few attempts to characterize the metastable ordered phase in contexts other than melting.

Suggested Citation

  • Moreno, Felipe & Davis, Sergio & Loyola, Claudia & Peralta, Joaquín, 2018. "Ordered metastable states in the Potts model and their connection with the superheated solid state," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 361-368.
  • Handle: RePEc:eee:phsmap:v:509:y:2018:i:c:p:361-368
    DOI: 10.1016/j.physa.2018.06.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118307301
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2018.06.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sergio Davis & Yasmín Navarrete & Gonzalo Gutiérrez, 2014. "A maximum entropy model for opinions in social groups," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(4), pages 1-7, April.
    2. J. M. Kumpula & J. Saramäki & K. Kaski & J. Kertész, 2007. "Limited resolution in complex network community detection with Potts model approach," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 56(1), pages 41-45, March.
    3. Ouchi, Noriyuki Bob & Glazier, James A. & Rieu, Jean-Paul & Upadhyaya, Arpita & Sawada, Yasuji, 2003. "Improving the realism of the cellular Potts model in simulations of biological cells," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 329(3), pages 451-458.
    4. Ispolatov, I & Cohen, E.G.D, 2001. "On first-order phase transitions in microcanonical and canonical non-extensive systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 475-487.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Constanza Farías & Sergio Davis, 2023. "Temperature distribution in finite systems: application to the one-dimensional Ising chain," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(3), pages 1-10, March.
    2. Farías, Constanza & Davis, Sergio, 2021. "Multiple metastable states in an off-lattice Potts model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    3. Montecinos, Alejandra & Loyola, Claudia & Peralta, Joaquín & Davis, Sergio, 2021. "Microcanonical potential energy fluctuations and configurational density of states for nanoscale systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiang, Ju & Tang, Yan-Ni & Gao, Yuan-Yuan & Zhang, Yan & Deng, Ke & Xu, Xiao-Ke & Hu, Ke, 2015. "Multi-resolution community detection based on generalized self-loop rescaling strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 127-139.
    2. Greg Morrison & L Mahadevan, 2012. "Discovering Communities through Friendship," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
    3. Thomas, Gilberto L. & Mironov, Vladimir & Nagy-Mehez, Agnes & Mombach, José C.M., 2014. "Dynamics of cell aggregates fusion: Experiments and simulations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 247-254.
    4. Elisabeth G Rens & Leah Edelstein-Keshet, 2019. "From energy to cellular forces in the Cellular Potts Model: An algorithmic approach," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-23, December.
    5. Richard J Beck & Dario I Bijker & Joost B Beltman, 2020. "Heterogeneous, delayed-onset killing by multiple-hitting T cells: Stochastic simulations to assess methods for analysis of imaging data," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-25, July.
    6. Anja Voss-Böhme, 2012. "Multi-Scale Modeling in Morphogenesis: A Critical Analysis of the Cellular Potts Model," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-14, September.
    7. Shen, Yi & Pei, Wenjiang & Wang, Kai & Li, Tao & Wang, Shaoping, 2008. "Recursive filtration method for detecting community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6663-6670.
    8. Weihua Zhan & Jihong Guan & Zhongzhi Zhang, 2017. "A New Method for Extracting the Hierarchical Organization of Networks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1359-1385, September.
    9. Elisa Letizia & Paolo Barucca & Fabrizio Lillo, 2018. "Resolution of ranking hierarchies in directed networks," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    10. Qiming Lu & G. Korniss & Boleslaw Szymanski, 2009. "The Naming Game in social networks: community formation and consensus engineering," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 221-235, November.
    11. Davis, Sergio, 2022. "A classification of nonequilibrium steady states based on temperature correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    12. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    13. Farías, Constanza & Davis, Sergio, 2021. "Multiple metastable states in an off-lattice Potts model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    14. Rodrigues, B.B. & Rocha, J.C.S. & Costa, B.V., 2022. "Phase diagram of flexible polymers with quenched disordered charged monomers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    15. Barré, Julien & Gonçalves, Bruno, 2007. "Ensemble inequivalence in random graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 212-218.
    16. Liu, Hongzhi & Zhang, Xingchen & Zhang, Xie, 2018. "Exploring dynamic evolution and fluctuation characteristics of air traffic flow volume time series: A single waypoint case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 560-571.
    17. Liu, Xu & Forrest, Jeffrey Yi-Lin & Luo, Qiang & Yi, Dong-Yun, 2012. "Detecting community structure using biased random merging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1797-1810.
    18. Casetti, Lapo & Kastner, Michael, 2007. "Partial equivalence of statistical ensembles and kinetic energy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 318-334.
    19. Shen, Huawei & Cheng, Xueqi & Cai, Kai & Hu, Mao-Bin, 2009. "Detect overlapping and hierarchical community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1706-1712.
    20. de Arruda, Guilherme F. & Costa, Luciano da Fontoura & Rodrigues, Francisco A., 2012. "A complex networks approach for data clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 6174-6183.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:509:y:2018:i:c:p:361-368. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.