{
  "abstract": "Low dimensional In-Pb heterostructures fabricated by hot pressing offer distinctive potential in superconducting quantum devices, spintronics, and flexible electromagnetic functional materials. Their electromagnetic coupling response is governed by atomic layer spin-orbit coupling, the In-Pb interfacial proximity effect, mesoscale texture, and macroscopic processing conditions acting together, and a predictive framework combining physical consistency with inverse process design has been lacking. This study proposes the Multiscale Cross Attention Electromagnetic Coupling Network, MSCA-EMNet. A hierarchical encoder embeds the four scales into independent, nonoverlapping channels, and a bidirectional cross scale attention module, BS-CrossAttn, places the Query at scale k and the Key and Value at scale k±1 , running upward aggregation and downward constraint feedback in parallel. A FiLM mechanism maps hot pressing parameters and the applied magnetic field to channel level affine parameters supporting inverse determination of feasible windows, and a scale availability mask lets records of unequal scale coverage train together through a learnable absent process embedding. Onsager reciprocity and magnetoelectric reciprocity between the direct and converse responses keep the nine component tensor physically consistent, the tensor being defined at a specified magnetic field and including three components of the interfacial magnetoelectric susceptibility. On 1,200 samples from DFT calculations and hot pressing experiments, MSCA-EMNet reaches an overall normalized mean absolute error of 0.041 and a coefficient of determination of 0.948, improvements of 43% and 7.2% over the strongest baseline. The extrapolation degradation rate is 48.8%, the proportion of samples violating the Onsager relation falls from the baseline range of 12%–41% to 1.7%, and cross system transfer reaches 0.86 to 0.89. An inverse design case maps a target tensor to a window of 168°C–174 °C, 62–70 MPa, 25–35 min and 8–12 μm, and six confirmatory experiments reproduce the target within 7.6% on every component.",
  "abstract_shown": true,
  "affiliations": [
    "School of Materials Science and Engineering, Shanghai University , ,"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "YingHao Xi"
    },
    {
      "affs": [
        0
      ],
      "name": "Lin Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/abqqvtey4hbr1.bib",
  "cited_by": 0,
  "doi": "10.3389/fchem.2026.1974299",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13719555/?tool=EBI",
  "id": "abqqvtey4hbr1",
  "issns": [
    "2296-2646"
  ],
  "landing_url": "https://europepmc.org/article/PMC/PMC13719555",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Research"
    ],
    [
      "openalex",
      "2505|Machine Learning in Materials Science"
    ]
  ],
  "openalex": "W7222524211",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13719555/pdf/?tool=EBI",
  "pmcid": "PMC13719555",
  "pmid": "42964159",
  "published": "2026-10-16",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/abqqvtey4hbr1.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:36Z",
      "native_id": "PMC:PMC13719555",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13719555"
    },
    {
      "first_seen": "2026-11-02T12:23:30Z",
      "native_id": "PMC13719555",
      "source": "pmc",
      "url": "https://doi.org/10.3389/fchem.2026.1974299"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2505|Machine Learning in Materials Science",
      "subfield": "materials-polymers"
    }
  ],
  "title": "A multiscale cross attention framework for predicting the electromagnetic coupling characteristics of low dimensional In-Pb heterostructures fabricated by hot pressing",
  "title_text": "A multiscale cross attention framework for predicting the electromagnetic coupling characteristics of low dimensional In-Pb heterostructures fabricated by hot pressing",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T12:20:37Z",
  "url": "https://research.draconitic.com/paper/abqqvtey4hbr1",
  "venue": "Frontiers in chemistry",
  "versions": []
}