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相关论文: Strongly disordered Hubbard model in one dimension…

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We introduce a strong-disorder renormalization group (RG) approach suitable for investigating the quasiparticle excitations of disordered superconductors in which the quasiparticle spin is not conserved. We analyze one-dimensional models…

超导电性 · 物理学 2009-10-31 Olexei Motrunich , Kedar Damle , David A. Huse

The interplay of disorder and interactions is a challenging topic of condensed matter physics, where correlations are crucial and exotic phases develop. In one spatial dimension, a particularly successful method to analyze such problems is…

强关联电子 · 物理学 2019-12-10 V. L. Quito , Pedro L. S. Lopes , José A. Hoyos , E. Miranda

The effect of quenched disorder on the low-energy properties of various antiferromagnetic spin ladder models is studied by a numerical strong disorder renormalization group method and by density matrix renormalization. For strong enough…

无序系统与神经网络 · 物理学 2009-11-07 R. Mélin , Y. -C. Lin , P. Lajkó , H. Rieger , F. Iglói

We use a numerical implementation of the strong disorder renormalization group (RG) method to study the low-energy fixed points of random Heisenberg and tight-binding models on different types of fractal lattices. For the Heisenberg model…

无序系统与神经网络 · 物理学 2007-05-23 R. Mélin , B. Douçot , F. Iglói

There is a large variety of quantum and classical systems in which the quenched disorder plays a dominant r\^ole over quantum, thermal, or stochastic fluctuations : these systems display strong spatial heterogeneities, and many averaged…

无序系统与神经网络 · 物理学 2009-11-11 Ferenc Igloi , Cecile Monthus

We present a new perturbative real space renormalization group (RG) to study random quantum spin chains and other one-dimensional disordered quantum systems. The method overcomes problems of the original approach which fails for quantum…

无序系统与神经网络 · 物理学 2009-11-07 A. Saguia , B. Boechat , M. A. Continentino

The infinite disorder fixed point of the random transverse-field Ising model is expected to control the critical behavior of a large class of random quantum and stochastic systems having an order parameter with discrete symmetry. Here we…

无序系统与神经网络 · 物理学 2015-05-19 Istvan A. Kovacs , Ferenc Igloi

The Strong Disorder RG approach for random systems has been extended in many new directions since our previous review of 2005 [Phys. Rep. 412, 277]. The aim of the present colloquium paper is thus to give an overview of these various recent…

无序系统与神经网络 · 物理学 2018-11-26 Ferenc Iglói , Cécile Monthus

Critical states are studied by a real space RG in the problem with strong diagonal disorder and long range power law hopping. The RG flow of the distribution of coupling parameters is characterized by a family of non-trivial fix points. We…

介观与纳米尺度物理 · 物理学 2017-09-27 L. S. Levitov

We study the ground-state phase diagram of the Ashkin-Teller random quantum spin chain by means of a generalization of the strong-disorder renormalization group. In addition to the conventional paramagnetic and ferromagnetic (Baxter)…

强关联电子 · 物理学 2014-01-14 Fawaz Hrahsheh , Rajesh Narayanan , José A. Hoyos , Thomas Vojta

We investigate the phase transition in a three-dimensional classical Heisenberg magnet with planar defects, i.e., disorder perfectly correlated in two dimensions. By applying a strong-disorder renormalization group, we show that the…

统计力学 · 物理学 2010-04-08 Priyanka Mohan , Rajesh Narayanan , Thomas Vojta

Strong Disorder Renormalization is an energy-based renormalization that leads to a complicated renormalized topology for the surviving clusters as soon as $d>1$. In this paper, we propose to include Strong Disorder Renormalization ideas…

无序系统与神经网络 · 物理学 2012-05-04 Cecile Monthus , Thomas Garel

The detailed analysis of the global structure of the renormalization-group (RG) flow diagram for a model with isotropic and cubic interactions is carried out in the framework of the massive field theory directly in three dimensions (3D)…

统计力学 · 物理学 2008-12-18 Konstantin Varnashev

The real-space renormalization group (RG) treatment of random transverse-field Ising spin chains by Fisher ({\it Phys. Rev. B{\bf 51}, 6411 (1995)}) has been extended into the strongly ordered and strongly disordered Griffiths phases and…

无序系统与神经网络 · 物理学 2009-11-07 Ferenc Iglói

The effect of strong disorder on the one-dimensional Kondo necklace model is studied using a perturbative real-space renormalization group approach which becomes asymptotically exact in the low energy limit. The phase diagram of the model…

强关联电子 · 物理学 2009-11-07 Tatiana G. Rappoport , Beatriz Boechat , Andreia Saguia , Mucio A. Continentino

We study the zero-temperature phase diagram of the half-filled one-dimensional ionic Hubbard model. This model is governed by the interplay of the on-site Coulomb repulsion and an alternating one-particle potential. Various many-body energy…

强关联电子 · 物理学 2009-11-10 S. R. Manmana , V. Meden , R. M. Noack , K. Schoenhammer

The Ma-Dasgupta-Hu renormalization group (RG) scheme is used to study singular quantities in the Griffiths phase of random quantum spin chains. For the random transverse-field Ising spin chain we have extended Fisher's analytical solution…

统计力学 · 物理学 2009-10-31 Ferenc Igloi , Robert Juhasz , Peter Lajko

We study the one-dimensional Hubbard model with nearest-neighbor and next-nearest-neighbor hopping integrals by using the density-matrix renormalization group (DMRG) method and Hartree-Fock approximation. Based on the calculated results for…

强关联电子 · 物理学 2009-11-13 S. Nishimoto , K. Sano , Y. Ohta

Critical properties of quantum spin chains with varying degrees of disorder are studied at zero temperature by analytical and extensive density matrix renormalization methods. Generally the phase diagram is found to contain three phases.…

无序系统与神经网络 · 物理学 2009-11-07 Enrico Carlon , Péter Lajko , Ferenc Iglói

Entanglement features of the ground state of disordered quantum matter are often captured by an infinite randomness fixed point that, for a variety of models, is the random singlet phase. Although a copious number of studies covers…

统计力学 · 物理学 2020-03-04 Xhek Turkeshi , Paola Ruggiero , Pasquale Calabrese
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