Network model for periodically strained graphene
ORAL
Abstract
The long-wavelength physics of monolayer graphene in the presence of periodic strain fields has a
natural chiral scattering network description. When the strain field varies slowly compared to the
graphene lattice and the effective magnetic length of the induced valley pseudomagnetic field, the
low-energy physics can be understood in terms of valley-polarized percolating domain-wall modes.
Inspired by a recent experiment, we consider a strain field with threefold rotation and mirror sym-
metries but without twofold rotation symmetry, resulting in a system with the connectivity of
the oriented kagome network. Scattering processes in this network are captured by a symmetry-
constrained phenomenological S matrix. We analyze the phase diagram of the kagome network, and
show that the bulk physics of the strained graphene can be qualitatively captured by the network
when the S matrix gains an appropriate energy dependence. We also discuss the limitations of this
approach to properly account for boundary physics.
natural chiral scattering network description. When the strain field varies slowly compared to the
graphene lattice and the effective magnetic length of the induced valley pseudomagnetic field, the
low-energy physics can be understood in terms of valley-polarized percolating domain-wall modes.
Inspired by a recent experiment, we consider a strain field with threefold rotation and mirror sym-
metries but without twofold rotation symmetry, resulting in a system with the connectivity of
the oriented kagome network. Scattering processes in this network are captured by a symmetry-
constrained phenomenological S matrix. We analyze the phase diagram of the kagome network, and
show that the bulk physics of the strained graphene can be qualitatively captured by the network
when the S matrix gains an appropriate energy dependence. We also discuss the limitations of this
approach to properly account for boundary physics.
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Publication: arXiv:2209.02554
Presenters
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Christophe De Beule
University of Pennsylvania
Authors
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Christophe De Beule
University of Pennsylvania
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Eugene J Mele
University of Pennsylvania
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Phong T Vo
University of Pennsylvania