{
  "annotation_id": "e3367fb9-ca76-4944-8dbd-51a06b203627",
  "date_created": "2026-02-17T05:53:04.961000Z",
  "date_modified": "2026-02-17T05:53:04.961000Z",
  "file_hash": "35b18814d0b10df155d5542c354ff03c56e2a26d81192a74b2dda25858b2c7dd",
  "private": false,
  "record": {
    "abstract": "We study ballistic electron transport through electrostatic barriers in AB-stacked bilayer graphene within a full four-band framework. A mode-resolved analysis reveals how propagating and evanescent channels couple across electrostatic interfaces and how channel selectivity governs transport at normal incidence. We show that, even when decoupled channels remain inactive, perfect transmission can occur at discrete energies due to phase matching of a single internal mode within an individual barrier. This effect is interpreted as a ghost quantum well, namely an effective cavity formed by internal phase coherence inside the barrier, without true bound states and without restoring coupling to decoupled channels. For single- and double-barrier geometries, we derive compact analytical expressions for the transmission and identify the corresponding resonance conditions. Extending the analysis to multibarrier structures using a transfer-matrix approach, we demonstrate how perfect resonances driven by internal phase matching coexist with Fabry-Perot-like resonances arising from inter-barrier interference. Our results provide a unified, channel-resolved description of tunnelling suppression and resonance-assisted transport in bilayer graphene barrier systems.",
    "arxiv_id": "2601.05970",
    "authors": [
      "Dan-Na Liu",
      "Jun Zheng",
      "Pierre A. Pantaleon"
    ],
    "categories": [
      "cond-mat.mes-hall"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Mode-Selective Cloaking and Ghost Quantum Wells in Bilayer Graphene Transport",
    "url": "https://arxiv.org/abs/2601.05970",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "abe1eaf1-ddd1-44bf-95a9-a58390ec84d5",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}