IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-57007-1.html
   My bibliography  Save this article

Microscopic origin of abrupt mixed-order phase transitions

Author

Listed:
  • Jan Korbel

    (Complexity Science Hub
    Medical University of Vienna)

  • Shlomo Havlin

    (Bar-Ilan University)

  • Stefan Thurner

    (Complexity Science Hub
    Medical University of Vienna
    Santa Fe Institute)

Abstract

We suggest a possible origin for abrupt mixed-order transitions in physical systems and demonstrate it on three different Ising models with additional different types of interactions. We identify a plausible microscopic origin of this abrupt transition. It is driven by long-term microscopic cascades of changes in the underlying interaction network due to the additional interaction. These spontaneous cascades of microscopic changes accumulate over macroscopic time, resulting in a long-term metastable cascading plateau that ultimately causes an abrupt transition of the system. We also calculate the critical exponents for the cascading, magnetization, convergence slowing down, and the typical fluctuations of single-trajectory critical temperature and magnetization. The developed approach and our findings can shed light on the microscopic mechanism at the origin behind many abrupt transitions in nature and technology.

Suggested Citation

  • Jan Korbel & Shlomo Havlin & Stefan Thurner, 2025. "Microscopic origin of abrupt mixed-order phase transitions," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57007-1
    DOI: 10.1038/s41467-025-57007-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-57007-1
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-57007-1?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
    ---><---

    References listed on IDEAS

    as
    1. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    2. Iacopo Iacopini & Giovanni Petri & Alain Barrat & Vito Latora, 2019. "Simplicial models of social contagion," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    3. Jan Korbel & Simon David Lindner & Rudolf Hanel & Stefan Thurner, 2021. "Thermodynamics of structure-forming systems," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    4. José Nahuel Freitas & Massimiliano Esposito, 2022. "Emergent second law for non-equilibrium steady states," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. Morone, Flaviano & Burleson-Lesser, Kate & Vinutha, H.A. & Sastry, Srikanth & Makse, Hernán A., 2019. "The jamming transition is a k-core percolation transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 172-177.
    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. Krishnagopal, Sanjukta & Bianconi, Ginestra, 2023. "Topology and dynamics of higher-order multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    2. I. Bonamassa & B. Gross & J. Kertész & S. Havlin, 2025. "Hybrid universality classes of systemic cascades," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    3. Zhao, Dandan & Li, Runchao & Peng, Hao & Zhong, Ming & Wang, Wei, 2022. "Percolation on simplicial complexes," Applied Mathematics and Computation, Elsevier, vol. 431(C).
    4. Zhao, Dandan & Li, Runchao & Peng, Hao & Zhong, Ming & Wang, Wei, 2022. "Higher-order percolation in simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    5. Peng, Hao & Zhao, Yifan & Zhao, Dandan & Zhong, Ming & Hu, Zhaolong & Han, Jianming & Li, Runchao & Wang, Wei, 2023. "Robustness of higher-order interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    6. Wang, Chengjiang & Wang, Li & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2017. "Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 18-29.
    7. Federico Malizia & Santiago Lamata-Otín & Mattia Frasca & Vito Latora & Jesús Gómez-Gardeñes, 2025. "Hyperedge overlap drives explosive transitions in systems with higher-order interactions," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    8. Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Robustness of assembly supply chain networks by considering risk propagation and cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 129-139.
    9. repec:plo:pone00:0090265 is not listed on IDEAS
    10. Shogo Mizutaka & Kousuke Yakubo, 2017. "Structural instability of large-scale functional networks," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-11, July.
    11. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    12. Fridgen, Gilbert & Keller, Robert & Körner, Marc-Fabian & Schöpf, Michael, 2020. "A holistic view on sector coupling," Energy Policy, Elsevier, vol. 147(C).
    13. Hernandez-Fajardo, Isaac & Dueñas-Osorio, Leonardo, 2013. "Probabilistic study of cascading failures in complex interdependent lifeline systems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 260-272.
    14. Yu, Haitao & Wang, Jiang & Liu, Chen & Deng, Bin & Wei, Xile, 2014. "Delay-induced synchronization transitions in modular scale-free neuronal networks with hybrid electrical and chemical synapses," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 25-34.
    15. Sgrignoli, Paolo & Metulini, Rodolfo & Schiavo, Stefano & Riccaboni, Massimo, 2015. "The relation between global migration and trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 245-260.
    16. Zhou, Yaoming & Wang, Junwei, 2018. "Efficiency of complex networks under failures and attacks: A percolation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 658-664.
    17. Gong, Chang & Li, Jichao & Qian, Liwei & Li, Siwei & Yang, Zhiwei & Yang, Kewei, 2024. "HMSL: Source localization based on higher-order Markov propagation," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    18. Daniel Reisinger & Fabian Tschofenig & Raven Adam & Marie Lisa Kogler & Manfred Füllsack & Fabian Veider & Georg Jäger, 2024. "Patterns of stability in complex contagions," Journal of Computational Social Science, Springer, vol. 7(2), pages 1895-1911, October.
    19. Monsalve, Mauricio & de la Llera, Juan Carlos, 2019. "Data-driven estimation of interdependencies and restoration of infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 167-180.
    20. Liu, Huan & Tatano, Hirokazu & Pflug, Georg & Hochrainer-Stigler, Stefan, 2021. "Post-disaster recovery in industrial sectors: A Markov process analysis of multiple lifeline disruptions," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    21. Liu, Run-Ran & Chu, Changchang & Meng, Fanyuan & Jia, Chun-Xiao, 2025. "Hypergraph-based modeling of cascading failures with probabilistic node-to-group interactions," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).

    More about this item

    Statistics

    Access and download statistics

    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:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57007-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.