Export citation

Export citation

Choose format for download:

Download Citation

    Numerical Renormalization of Glassy Dynamics

    Johannes Lang1,*, Subir Sachdev2, and Sebastian Diehl1

    • *Contact author: j.lang@uni-koeln.de

    Phys. Rev. Lett. 135, 247101 – Published 10 December, 2025

    DOI: https://doi.org/10.1103/z64g-nqs6

    Abstract

    The quench dynamics of glassy systems are challenging. Because of aging, the system never reaches a stationary state but, instead, evolves on emergent scales that grow with its age. This slow evolution complicates field-theoretic descriptions, as the weak long-term memory and the absence of a stationary state hinder simplifications of the memory, always leading to the worst-case scaling of computational effort with the cubic power of the simulated time. Here, we present an algorithm based on two-dimensional interpolations of Green’s functions, which resolves this issue and achieves sublinear scaling of computational cost. We apply it to the quench dynamics of the spherical mixed p-spin model to establish the existence of a phase transition between glasses with strong and weak ergodicity breaking at a finite temperature of the initial state. By reaching times 3 orders of magnitude larger than previously attainable, we determine the critical exponents of this transition. Interestingly, these are continuously varying and, therefore, nonuniversal. While we introduce and validate the method in the context of a glassy system, it is equally applicable to any model with overdamped excitations.

    Physics Subject Headings (PhySH)

    See Also

    Strong Ergodicity Breaking in Dynamical Mean-Field Equations for Mixed p-Spin Glasses

    Vincenzo Citro and Federico Ricci-Tersenghi
    Phys. Rev. Lett. 135, 247102 (2025)

    Authorization Required

    We need you to provide your credentials before accessing this content.

    Supplemental Material (Subscription Required)

    References (Subscription Required)

    Outline

    Information

    Sign In to Your Journals Account

    Filter

    Filter

    Article Lookup

    Enter a citation