IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v604y2022ics0378437122005192.html
   My bibliography  Save this article

Phase diagram of flexible polymers with quenched disordered charged monomers

Author

Listed:
  • Rodrigues, B.B.
  • Rocha, J.C.S.
  • Costa, B.V.

Abstract

Recent advances in Generalized Ensemble simulations and microcanonical analysis allowed the investigation of structural transitions in polymer models over a broad range of local bending and torsion strengths. It is reasonable to argue that electrostatic interactions play a significant role in stabilizing and mediating structural transitions in polymers. We propose a bead–spring polymer model with randomly distributed charged monomers interacting via a screened Coulomb potential. By combining the Replica Exchange Wang–Landau (REWL) method with energy-dependent monomer updates, we constructed the hyperphase diagram as a function of temperature (T) and charged monomer concentration (η). The coil–globule and globular–solid transitions are second and first order for the entire concentration range. However, above a concentration threshold of η=80%, electrostatic repulsion hinders the formation of solid and liquid globules, and the interplay between enthalpic and entropic interactions leads to the formation of liquid pearl-necklace and solid helical structures. The probability distribution, P(E,T), indicates that at high η, the pearl-necklace liquid phase freezes into a stable solid helix-like structure with a free energy barrier higher than the freezing globule transition at low η.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122005192
    DOI: 10.1016/j.physa.2022.127787
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437122005192
    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.2022.127787?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. Kumar, Sanjiv & Kumar, Sanjay, 2018. "Polymer in a pore: Effect of confinement on the free energy barrier," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 216-223.
    2. Farris, Alfred C.K. & Landau, David P., 2021. "Replica exchange Wang–Landau sampling of long HP model sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    3. Bernd A. Berg, 1992. "The Multicanonical Ensemble: A New Approach To Computer Simulations," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 3(05), pages 1083-1098.
    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)

    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. Barré, Julien & Gonçalves, Bruno, 2007. "Ensemble inequivalence in random graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 212-218.
    2. Yang, Kaiyuan & Huang, Houjing & Vandans, Olafs & Murali, Adithya & Tian, Fujia & Yap, Roland H.C. & Dai, Liang, 2023. "Applying deep reinforcement learning to the HP model for protein structure prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    3. 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.
    4. Baowei Wang & Peng Zhao, 2020. "An Adaptive Image Watermarking Method Combining SVD and Wang-Landau Sampling in DWT Domain," Mathematics, MDPI, vol. 8(5), pages 1-20, May.
    5. 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).
    6. Davis, Sergio, 2022. "A classification of nonequilibrium steady states based on temperature correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    7. 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.

    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:604:y:2022:i:c:s0378437122005192. 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.