{
  "annotation_id": "b5cf0492-60ae-437c-8bfd-5e372eee64cd",
  "date_created": "2026-02-17T05:53:04.380000Z",
  "date_modified": "2026-02-17T05:53:04.380000Z",
  "file_hash": "77e3cd77b231eb463a3268b388e18e1852db3a238ab8c4ce028615098cebd9f8",
  "private": false,
  "record": {
    "abstract": "Recently, the nickel-based superconductor $T_c$ record was updated to $96\\ \\text{K}$ in bilayer $\\mathrm{La_{3-x}Sm_{x}Ni_{2}O_{7-\\delta}}$ (LSNO) under pressure, raising a critical question: Can its $T_c$ exceed the 164 K benchmark of copper-based superconductors? We find that both monoclinic and tetragonal LSNO have an octahedral quantum well structure (determining $T_c$) nearly identical to $\\mathrm{YBa_{2}Cu_{3}O_{7-\\delta}}$ (YBCO). Based on the formula $T_c = \\Lambda/\\xi^{2}$ (Planck ground-state quantum well oscillator hypothesis, $\\xi$ = lattice parameter-determined quantum well depth), we predict Sm-doped nickelate $T_c$ values of $93.4\\ \\text{K}$ (monoclinic) and $97.1\\ \\text{K}$ (tetragonal), in excellent agreement with experimental data ($92\\ \\text{K}$ and $96\\ \\text{K}$). Notably, despite distinct composition and symmetry (LSNO: $P2_1/m$; YBCO: $Pmmm$), their $\\xi$ ($3.6629\\ \\AA$ vs $3.6720\\ \\AA$) and $T_c$ ($92\\ \\text{K}$ vs $93\\ \\text{K}$) are nearly identical. This validates the proposed superconducting formula and unifies copper-based and nickel-based superconductors at the angstrom-scale octahedral quantum well. Further predictions indicate the maximum achievable $T_c$ for lanthanide-based nickelates (regardless of layer number) is $\\sim100\\ \\text{K}$.",
    "arxiv_id": "2601.06083",
    "authors": [
      "Xiuqing Huang"
    ],
    "categories": [
      "cond-mat.supr-con"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Theoretical Prediction of optimal $T_c$ for Nickelate $\\mathrm{La_{3-x}Sm_{x}Ni_{2}O_{7-\\delta}}$",
    "url": "https://arxiv.org/abs/2601.06083",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0447236d-51ea-418f-8c2d-05a55a14038b",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}