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Benchmarking the nonperturbative functional renormalization group approach on the random elastic manifold model in and out of equilibrium

机译:基于均衡随机弹性歧管模型的非稳定功能重整组方法

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Criticality in the class of disordered systems comprising the random-field Ising model (RFIM) and elastic manifolds in a random environment is controlled by zero-temperature fixed points that must be treated through a functional renormalization group (RG). We apply the nonperturbative functional RG approach that we have previously used to describe the RFIM in and out of equilibrium (Balog et al 2018 Phys. Rev. B 97 094204) to the simpler and by now well-studied case of the random elastic manifold model. We recover the main known properties, critical exponents and scaling functions, of both the pinned phase of the manifold at equilibrium and the depinning threshold in the athermally and quasi-statically driven case for any dimension 0 < d ≤ 4. This successful benchmarking of our theoretical approach gives strong support to the results that we have previously obtained for the RFIM, in particular concerning the distinct universality classes of the equilibrium and out-of-equilibrium (hysteresis) critical points below a critical dimension d_(DR) ≈ 5.1.
机译:由随机场伊辛模型(RFIM)和随机环境中的弹性流形组成的一类无序系统的临界性由零温度不动点控制,必须通过函数重整化群(RG)进行处理。我们将之前用于描述RFIM进入和脱离平衡的非微扰泛函RG方法(Balog et al 2018 Phys.Rev.B 97 094204)应用于更简单且目前已得到充分研究的随机弹性流形模型。我们恢复了平衡状态下流形的钉扎相位和非热和准静态驱动情况下的脱钉阈值的主要已知性质、临界指数和标度函数≤ 4.我们的理论方法的成功基准测试有力地支持了我们之前在RFIM中获得的结果,尤其是关于临界维d_(DR)以下的平衡点和非平衡(滞后)临界点的不同普适性类别≈ 5.1.

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