{
  "abstract": "We investigate $dd$ excitations in Resonant Inelastic X-ray Scattering spectra of YBa$_2$Cu$_3$O$_6$ and La$_2$CuO$_4$ using the local single-ion model. The data are analyzed by conventional global fitting and by a convolutional neural network trained within the same theoretical framework. For YBa$_2$Cu$_3$O$_6$, the excited state energies obtained with the two methods coincide, leading to the $xy$, $3z^2-r^2$, $xz/yz$ sequence for increasing energy. This result validates the use of machine learning tools for the analysis of RIXS spectra dominated by $dd$ excitations. By contrast, for La$_2$CuO$_4$, the two methods do not converge to a single solution, revealing the limitations of the single-ion model in describing $dd$ excitations in cuprates and pointing to the role of additional contributions beyond a purely local picture in shaping high-energy excitations.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2607.15763",
  "author_total": 15,
  "authors": [
    {
      "name": "Maryia Zinouyeva"
    },
    {
      "name": "Leonardo Martinelli"
    },
    {
      "name": "Riccardo Arpaia"
    },
    {
      "name": "Nicholas B. Brookes"
    },
    {
      "name": "Daniele Di Castro"
    },
    {
      "name": "Kurt Kummer"
    },
    {
      "name": "Floriana Lombardi"
    },
    {
      "name": "Giacomo Merzoni"
    },
    {
      "name": "Francesco Rosa"
    },
    {
      "name": "Alessandro Tarasio"
    },
    {
      "name": "Enrico Tassi"
    },
    {
      "name": "Flora Yakhou-Harris"
    },
    {
      "name": "Ezio Puppin"
    },
    {
      "name": "Marco Moretti Sala"
    },
    {
      "name": "Giacomo Ghiringhelli"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/apejcqwmh84n8.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2607.15763",
  "fulltext_url": null,
  "id": "apejcqwmh84n8",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2607.15763",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cond-mat.str-el"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2607.15763",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-17",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/apejcqwmh84n8.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T15:21:24Z",
      "native_id": "2607.15763",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2607.15763"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.str-el",
      "subfield": "condensed-matter"
    }
  ],
  "title": "Machine-learning test of the single-ion model for $dd$ excitations in cuprates",
  "title_text": "Machine-learning test of the single-ion model for dd excitations in cuprates",
  "type": "preprint",
  "updated_at": "2026-11-06T18:21:01Z",
  "url": "https://research.draconitic.com/paper/apejcqwmh84n8",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1103/tn4y-t5ml",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}