Imaging Supermoire Relaxation in Helical Trilayer Graphene: Part II
ORAL
Abstract
Helical trilayer graphene (HTG) relaxes into a superstructure of large triangular domains with uniform moiré periodicity that are separated by a network of boundaries where the stacking configuration changes. These domain walls are predicted to host valley-contrasting topological modes when the domains are gapped. In this talk, I will describe measurements that resolve the local conductance in HTG with a scanning single-electron transistor (SET). We show enhanced conductance along the domain wall network, consistent with the prediction of helical edge modes. Simulations that combine theoretical calculations with an electrostatic model for the finite resolution of the SET tip show good agreement with our measurements, consistent with a supermoire network of gapless topological boundary modes. The ability to enhance and reshape domains with strain establishes HTG as a promising platform to engineer tunable correlated topological networks.
*This work was supported by the QSQM, an Energy Frontier Research Center funded by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES). K.W. and T.T. acknowledge support from the JSPS KAKENHI and World Premier International Research Center Initiative (WPI), MEXT, Japan. J.C.H. acknowledges support from the Stanford Q-FARM Quantum Science and Engineering Fellowship. Part of this work was performed at the Stanford Nano Shared Facilities (SNSF), supportedby the National Science Foundation.
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Publication: arXiv:2410.16269
Presenters
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Yifan Li
- Stanford University