Fractional Quantum Hall States in Mixed-Stacked Pentalayer Graphene
by Liu, Kai / Harvard Dataverse·Updated 2mo ago
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Description
Replication data for a study reporting a cascade of even-denominator fractional quantum Hall states at fillings ν = -5/2, -7/2, -9/2, -11/2, and -13/2 in mixed-stacked pentalayer graphene. The dataset, authored by Kai Liu and hosted on Harvard Dataverse, was last updated on 2026-04-20. It supports the identification of quantum phase transitions and possible Moore–Read-type pairing.
Use Cases
Analyzing displacement-field tunability of even-denominator states based on the experimental results described.
Investigating quantum phase transitions between even-denominator states, magnetic Bloch states, and composite Fermi liquids based on the reported field tuning.
Supporting numerical calculations for Moore–Read-type pairing in even-denominator states as mentioned in the description.
Studying the interplay of quadratic and cubic band dispersions in mixed-stacked graphene as a platform for correlated topological phases.
Strengths
Data supports the observation of five specific even-denominator states (ν = -5/2, -7/2, -9/2, -11/2, -13/2) alongside numerous odd-denominator states.
Results demonstrate clear displacement-field tunability and identification of continuous quantum phase transitions.
Dataset is associated with a study published in a scientific context and hosted on an authoritative platform (Harvard Dataverse).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file size are unknown, which may limit suitability assessment.
Direct experimental probes of exchange statistics for the reported states are noted as important for future work.
Provenance
Source
Harvard Dataverse
Collection Method
Experimental data from measurements on mixed-stacked pentalayer graphene, likely including transport or spectroscopic data.
Time Range
null
Freshness
Last updated 2026-04-20 14:02:27; freshness should be verified.
Geography
null
License is unknown; terms of use must be verified before download.