{
  "abstract": "Spatially programmed functional materials, from functionally graded alloys and metamaterials to quantum superlattices, use their spatial structure to tailor physical properties. However, translating a desired spatial structure into a practical fabrication recipe remains challenging due to the complex relationship between processing conditions and resulting material structures. Here we show that a large language model (LLM) agent can inverse-design such fabrication recipes by using a physics-based simulator of ion-matter interactions as a tool. Given an arbitrary depth profile of implanted ions or vacancies, the agent selects the ion species, energies, incident angles, and target material layers; writes, runs, and interprets simulations; and iteratively refines the recipe until the simulated profile matches the target, with minimal human input. Our work demonstrates physics-guided agentic inverse design as a practical approach to making the spatial structure of materials a programmable variable, opening new opportunities to explore emergent physical phenomena and functional phases of matter.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.03795",
  "author_total": 7,
  "authors": [
    {
      "name": "Denisse Córdova Carrizales"
    },
    {
      "name": "Abhijatmedhi Chotrattanapituk"
    },
    {
      "name": "L. Dagny Davis"
    },
    {
      "name": "Jeremy Ramsey"
    },
    {
      "name": "Ryotaro Okabe"
    },
    {
      "name": "Mouyang Cheng"
    },
    {
      "name": "Mingda Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/65ndp5eaah8bm.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.03795",
  "fulltext_url": null,
  "id": "65ndp5eaah8bm",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2611.03795",
  "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.mtrl-sci"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2611.03795",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/65ndp5eaah8bm.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T15:21:25Z",
      "native_id": "2611.03795",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.03795"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.mtrl-sci",
      "subfield": "condensed-matter"
    }
  ],
  "title": "Agentic inverse design of spatially programmed materials",
  "title_text": "Agentic inverse design of spatially programmed materials",
  "type": "preprint",
  "updated_at": "2026-11-05T15:20:35Z",
  "url": "https://research.draconitic.com/paper/65ndp5eaah8bm",
  "venue": "arXiv",
  "versions": []
}