Z
Zi Yang Meng
Researcher at University of Hong Kong
Publications - 174
Citations - 5377
Zi Yang Meng is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Quantum Monte Carlo & Quantum phase transition. The author has an hindex of 33, co-authored 173 publications receiving 3948 citations. Previous affiliations of Zi Yang Meng include University of Stuttgart & University of Toronto.
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Quantum spin-liquid emerging in two-dimensional correlated Dirac fermions
TL;DR: It is shown, 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 fermion and an antiferromagnetically ordered Mott insulator.
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Correlated states in twisted double bilayer graphene
Cheng Shen,Yanbang Chu,QuanSheng Wu,Na Li,Shuopei Wang,Yanchong Zhao,Jian Tang,Jieying Liu,Jinpeng Tian,Kenji Watanabe,Takashi Taniguchi,Rong Yang,Zi Yang Meng,Zi Yang Meng,Dongxia Shi,Oleg V. Yazyev,Guangyu Zhang +16 more
TL;DR: In this paper, the displacement field-tunable electronic phases in twisted double bilayer graphene have been shown to be stable at half-filled conduction bands in an intermediate range of displacement fields.
Journal ArticleDOI
Correlated states in twisted double bilayer graphene
Cheng Shen,Yanbang Chu,QuanSheng Wu,Na Li,Shuopei Wang,Yanchong Zhao,Jian Tang,Jieying Liu,Jinpeng Tian,Kenji Watanabe,Takashi Taniguchi,Rong Yang,Zi Yang Meng,Zi Yang Meng,Dongxia Shi,Oleg V. Yazyev,Guangyu Zhang +16 more
TL;DR: In this paper, the authors have shown that the displacement-field tunability of bilayer graphene can be further tuned by a displacement field, providing an extra degree of freedom to control the flat band that appears when two bilayers are stacked on top of each other.
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Self-learning Monte Carlo method
TL;DR: Self-learning Monte Carlo (SLMC) as discussed by the authors is a general-purpose Monte Carlo method, 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.
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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,Jia-Wei Mei,Jia-Wei Mei,Youguo Shi +18 more
TL;DR: In this paper, a new kagome quantum spin liquid candidate Cu3Zn(OH)6FBr was reported, which does not experience any phase transition down to 50 mK, more than three orders lower than the antiferromagnetic Curie-Weiss temperature.