Electron fractionalization in two-dimensional graphenelike structures
Chang-Yu Hou, Claudio Chamon, and Christopher Mudry

TL;DR
This paper demonstrates the existence of fractionally charged topological excitations in two-dimensional graphenelike structures that preserve time-reversal symmetry, expanding the understanding of fractionalization beyond quantum Hall systems.
Contribution
It introduces a new class of fractionalized excitations in graphenelike materials with time-reversal symmetry, linking topological zero-modes to Dirac fermion mass twists.
Findings
Fractionally charged topological excitations exist in graphenelike structures.
Zero-modes are analogous to fractional vortices in p-wave superconductors.
Topological excitations relate to phase twists in Dirac fermion masses.
Abstract
Electron fractionalization is intimately related to topology. In one-dimensional systems, fractionally charged states exist at domain walls between degenerate vacua. In two-dimensional systems, fractionalization exists in quantum Hall fluids, where time-reversal symmetry is broken by a large external magnetic field. Recently, there has been a tremendous effort in the search for examples of fractionalization in two-dimensional systems with time-reversal symmetry. In this letter, we show that fractionally charged topological excitations exist on graphenelike structures, where quasiparticles are described by two flavors of Dirac fermions and time-reversal symmetry is respected. The topological zero-modes are mathematically similar to fractional vortices in p-wave superconductors. They correspond to a twist in the phase in the mass of the Dirac fermions, akin to cosmic strings in particle…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraphene research and applications
