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We investigate the scaling properties of zero temperature conductances at integer quantum Hall plateau transitions in the lowest Landau band of a two-dimensional tight-binding model. Scaling is obeyed for all energy and system sizes with…

无序系统与神经网络 · 物理学 2009-10-31 Xiashoa Wang , Qiming Li , C. M. Soukoulis

We propose a scaling model for the universal longitudinal conductivity near the mobility edge for the integer quantum Hall liquid. We fit our model with available experimental data on exponentially activated conductance near the Landau…

凝聚态物理 · 物理学 2009-10-22 S. Das Sarma , Dongzi Liu

The scaling theory of the transitions between plateaus of the Hall conductivity in the integer Quantum Hall effect is reviewed. In the model of two-dimensional noninteracting electrons in strong magnetic fields the transitions are…

凝聚态物理 · 物理学 2016-08-31 Bodo Huckestein

The quantum Hall effect is one of the most extensively studied topological effects in solid state physics. The transitions between different quantum Hall states exhibit critical phenomena described by universal critical exponents. Numerous…

无序系统与神经网络 · 物理学 2023-04-14 Keith Slevin , Tomi Ohtsuki

Motivated by the recent numerical studies on the Chalker-Coddington network model that found a larger-than-expected critical exponent of the localization length characterizing the integer quantum Hall plateau transitions, we revisited the…

无序系统与神经网络 · 物理学 2019-02-06 Qiong Zhu , Peng Wu , R. N. Bhatt , Xin Wan

The integer quantum Hall transition (IQHT) is one of the most mysterious members of the family of Anderson transitions. Since the 1980s, the scaling behavior near the IQHT has been vigorously studied in experiments and numerical…

无序系统与神经网络 · 物理学 2021-12-21 E. J. Dresselhaus , B. Sbierski , I. A. Gruzberg

We have measured the temperature dependence of the longitudinal resistivity $% \rho_{xx}$ of a two-dimensional electron system in the regime of the quantum Hall plateau transition. We extracted the quantitative form of scaling function for…

介观与纳米尺度物理 · 物理学 2009-11-13 Tao Tu , Yong-Jie Zhao , Guo-Ping Guo , Xiao-Jie Hao , Guang-Can Guo

Even though the integer quantum Hall transition has been investigated for nearly four decades its critical behavior remains a puzzle. The best theoretical and experimental results for the localization length exponent $\nu$ differ…

无序系统与神经网络 · 物理学 2019-03-20 Martin Puschmann , Philipp Cain , Michael Schreiber , Thomas Vojta

We present a numerical finite size scaling study of the localization length in long cylinders near the integer quantum Hall transition (IQHT) employing the Chalker-Coddington network model. Corrections to scaling that decay slowly with…

无序系统与神经网络 · 物理学 2012-11-20 Hideaki Obuse , Ilya A. Gruzberg , Ferdinand Evers

We present a novel approach to the localization-delocalization transition in the integer quantum Hall effect. The Hamiltonian projected onto the lowest Landau level can be written in terms of the projected density operators alone. This and…

介观与纳米尺度物理 · 物理学 2009-10-31 Jairo Sinova , V. Meden , S. M. Girvin

Scaling theory predicts complete localization in $d=2$ in quantum systems belonging to orthogonal class (i.e. with time-reversal symmetry and spin-rotation symmetry). The conductance $g$ behaves as $g \sim exp(-L/l)$ with system size $L$…

介观与纳米尺度物理 · 物理学 2019-03-06 Junjie Qi , Haiwen Liu , Chui-zhen Chen , Hua Jiang , X. C. Xie

We theoretically study the effect of long-ranged inhomogeneities on the critical properties of the integer quantum Hall transition. For this purpose we employ the real-space renormalization-group (RG) approach to the network model of the…

介观与纳米尺度物理 · 物理学 2009-11-07 P. Cain , M. E. Raikh , R. A. Roemer , M. Schreiber

We analyze the complexity of Gibbs samplers for inference in crossed random effect models used in modern analysis of variance. We demonstrate that for certain designs the plain vanilla Gibbs sampler is not scalable, in the sense that its…

统计计算 · 统计学 2018-03-28 Omiros Papaspiliopoulos , Gareth O. Roberts , Giacomo Zanella

We propose a dynamical scaling analysis improved by a deep learning approach. While Gaussian process regression has been widely employed for estimating scaling parameters, its computational cost for parameter optimization becomes a…

统计力学 · 物理学 2026-05-18 Yusuke Terasawa , Yukiyasu Ozeki

We study numerically conductance fluctuations near the integer quantum Hall effect plateau transition. The system is presumed to be in a mesoscopic regime, with phase coherence length comparable to the system size. We focus on a…

介观与纳米尺度物理 · 物理学 2016-08-31 Sora Cho , Matthew P. A. Fisher

We study the critical behavior near the integer quantum Hall plateau transition by focusing on the multifractal (MF) exponents $X_q$ describing the scaling of the disorder-average moments of the point contact conductance $T$ between two…

介观与纳米尺度物理 · 物理学 2013-12-31 Hideaki Obuse , Soumya Bera , Andreas W. W. Ludwig , Ilya A. Gruzberg , Ferdinand Evers

Scaling analysis, in which one infers scaling exponents and a scaling function in a scaling law from given data, is a powerful tool for determining universal properties of critical phenomena in many fields of science. However, there are…

统计力学 · 物理学 2015-07-08 Kenji Harada

Determining the universality class of a system exhibiting critical phenomena is one of the central problems in physics. There are several methods to determine this universality class from data. As methods performing collapse plots onto…

统计力学 · 物理学 2023-05-10 Ryosuke Yoneda , Kenji Harada

We have measured the temperature dependence of the conductivity $\sigma_{xx}$ of a two-dimensional electron system deep into the localized regime of the quantum Hall plateau transition. Using variable-range hopping theory we are able to…

介观与纳米尺度物理 · 物理学 2009-11-07 F. Hohls , U. Zeitler , R. J. Haug

Quantum field theories with global symmetries simplify considerably in the large-charge limit allowing to compute correlators via a semiclassical expansion in the inverse powers of the conserved charges. A generalization of the approach to…

高能物理 - 理论 · 物理学 2023-01-27 Oleg Antipin , Alexander Bednyakov , Jahmall Bersini , Pantelis Panopoulos , Andrey Pikelner
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