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Dive into the research topics where Zi Yang Meng is active.

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Featured researches published by Zi Yang Meng.


Nature | 2010

Quantum spin liquid emerging in two-dimensional correlated Dirac fermions

Zi Yang Meng; T. C. Lang; Stefan Wessel; Fakher F. Assaad; Alejandro Muramatsu

At sufficiently low temperatures, condensed-matter systems tend to develop order. A notable exception to this behaviour is the case of quantum spin liquids, in which quantum fluctuations prevent a transition to an ordered state down to the lowest temperatures. There have now been tentative observations of such states in some two-dimensional organic compounds, yet quantum spin liquids remain elusive in microscopic two-dimensional models that are relevant to experiments. Here we show, by means of large-scale quantum Monte Carlo simulations of correlated fermions on a honeycomb lattice (a structure realized in, for example, graphene), that a quantum spin liquid emerges between the state described by massless Dirac fermions and an antiferromagnetically ordered Mott insulator. This unexpected quantum-disordered state is found to be a short-range resonating valence-bond liquid, akin to the one proposed for high-temperature superconductors: the possibility of unconventional superconductivity through doping therefore arises in our system. We foresee the experimental realization of this model system using ultra-cold atoms, or group IV elements arranged in honeycomb lattices.


Physical Review Letters | 2011

Dynamical signatures of edge-state magnetism on graphene nanoribbons.

Hélène Feldner; Zi Yang Meng; Thomas C. Lang; Fakher F. Assaad; Stefan Wessel; A. Honecker

We investigate the edge-state magnetism of graphene nanoribbons using projective quantum Monte Carlo simulations and a self-consistent mean-field approximation of the Hubbard model. The static magnetic correlations are found to be short ranged. Nevertheless, the correlation length increases with the width of the ribbon such that already for ribbons of moderate widths we observe a strong trend towards mean-field-type ferromagnetic correlations at a zigzag edge. These correlations are accompanied by a dominant low-energy peak in the local spectral function and we propose that this can be used to detect edge-state magnetism by scanning tunneling microscopy. The dynamic spin structure factor at the edge of a ribbon exhibits an approximately linearly dispersing collective magnonlike mode at low energies that decays into Stoner modes beyond the energy scale where it merges into the particle-hole continuum.


Physical Review Letters | 2014

Odd-parity triplet superconducting phase in multiorbital materials with a strong spin-orbit coupling: application to doped Sr₂IrO₄.

Zi Yang Meng; Yong Baek Kim; Hae-Young Kee

We explore possible superconducting states in t(2g) multiorbital correlated electron systems with strong spin-orbit coupling (SOC). In order to study such systems in a controlled manner, we employ large-scale dynamical mean-field theory (DMFT) simulations with the hybridization expansion continuous-time quantum Monte Carlo (CTQMC) impurity solver. To determine the pairing symmetry, we go beyond the local DMFT formalism using parquet equations to introduce the momentum dependence in the two-particle vertex and correlation functions. In the strong SOC limit, a singlet, d-wave pairing state in the electron-doped side of the phase diagram is observed at weak Hunds coupling, which is triggered by antiferromagnetic fluctuations. When the Hunds coupling is comparable to SOC, a twofold degenerate, triplet p-wave pairing state with relatively high transition temperature emerges in the hole-doped side of the phase diagram, which is associated with enhanced charge fluctuations. Experimental implications to doped Sr2IrO4 are discussed.


Physical Review B | 2017

Self-learning Monte Carlo method

Junwei Liu; Yang Qi; Zi Yang Meng; Liang Fu

Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of a general and efficient update algorithm for large size systems close to the phase transition, for which local updates perform badly. In this Rapid Communication, we propose a general-purpose Monte Carlo method, dubbed self-learning Monte Carlo (SLMC), in which an efficient update algorithm is first learned from the training data generated in trial simulations and then used to speed up the actual simulation. We demonstrate the efficiency of SLMC in a spin model at the phase transition point, achieving a 10\char21{}20 times speedup.


Physical Review Letters | 2012

Antiferromagnetism in the Hubbard Model on the Bernal-Stacked Honeycomb Bilayer

Thomas C. Lang; Zi Yang Meng; Michael M. Scherer; Stefan Uebelacker; Fakher F. Assaad; Alejandro Muramatsu; Carsten Honerkamp; Stefan Wessel

Using a combination of quantum Monte Carlo simulations, functional renormalization group calculations and mean-field theory, we study the Hubbard model on the Bernal-stacked honeycomb bilayer at half-filling as a model system for bilayer graphene. The free bands consisting of two Fermi points with quadratic dispersions lead to a finite density of states at the Fermi level, which triggers an antiferromagnetic instability that spontaneously breaks sublattice and spin rotational symmetry once local Coulomb repulsions are introduced. Our results reveal an inhomogeneous participation of the spin moments in the ordered ground state, with enhanced moments at the threefold coordinated sites. Furthermore, we find the antiferromagnetic ground state to be robust with respect to enhanced interlayer couplings and extended Coulomb interactions.


Chinese Physics Letters | 2017

Gapped Spin-1/2 Spinon Excitations in a New Kagome Quantum Spin Liquid Compound Cu3Zn(OH)6FBr

Zili Feng; Zheng Li; Xin Meng; Wei Yi; Yuan Wei; Jun Zhang; Yan Cheng Wang; Wei Jiang; Zheng Liu; Shiyan Li; Feng Liu; Jianlin Luo; Shiliang Li; Guo Qing Zheng; Zi Yang Meng; Jia Wei Mei; Youguo Shi

We report a new kagome quantum spin liquid candidate Cu3Zn(OH)6FBr, which does not experience any phase transition down to 50 mK, more than three orders lower than the antiferromagnetic Curie-Weiss temperature (~200 K). A clear gap opening at low temperature is observed in the uniform spin susceptibility obtained from 19F nuclear magnetic resonance measurements. We observe the characteristic magnetic field dependence of the gap as expected for fractionalized spin-1/2 spinon excitations. Our experimental results provide firm evidence for spin fractionalization in a topologically ordered spin system, resembling charge fractionalization in the fractional quantum Hall state.


Physical Review D | 2017

Duality between the deconfined quantum-critical point and the bosonic topological transition

Yan Qi Qin; Cenke Xu; Anders W. Sandvik; Yuan-Yao He; Arnab Sen; Zi Yang Meng; Yi-Zhuang You; Zhong-Yi Lu

Recently significant progress has been made in


Physical Review B | 2008

Phases and magnetization process of an anisotropic Shastry-Sutherland model

Zi Yang Meng; Stefan Wessel

(2+1)


Physical Review B | 2017

Self-learning Monte Carlo method and cumulative update in fermion systems

Huitao Shen; Junwei Liu; Yang Qi; Zi Yang Meng; Liang Fu

-dimensional conformal field theories without supersymmetry. In particular, it was realized that different Lagrangians may be related by hidden dualities, i.e., seemingly different field theories may actually be identical in the infrared limit. Among all the proposed dualities, one has attracted particular interest in the field of strongly-correlated quantum-matter systems: the one relating the easy-plane noncompact CP


Physical Review B | 2017

Self-learning quantum Monte Carlo method in interacting fermion systems

Xiao Yan Xu; Yang Qi; Junwei Liu; Liang Fu; Zi Yang Meng

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Xiao Yan Xu

Chinese Academy of Sciences

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Juana Moreno

Louisiana State University

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Mark Jarrell

Louisiana State University

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Yang Qi

Massachusetts Institute of Technology

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Yuan-Yao He

Renmin University of China

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Zhong-Yi Lu

Renmin University of China

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Shuxiang Yang

Louisiana State University

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