{
  "abstract": "Disordered (amorphous) materials, such as glasses, are emerging as promising candidates for applications within energy storage, nonlinear optics, and catalysis. Their lack of long-range order and complex short- and medium-range order, which depend on composition as well as thermal and pressure history, offer a vast materials design space. To this end, relying on machine learning methods instead of trial and error is promising, and among these, inverse design has emerged as a tool for generating materials with desired properties. Although inverse design methods based on diffusion models have shown success for crystalline materials and molecules, similar methods targeting amorphous materials remain less developed, mainly because of the limited availability of large-scale datasets and the requirement for larger simulation cells. In this work, we propose and validate an inverse design method for amorphous materials, introducing AMDEN (Amorphous Material DEnoising Network), a diffusion model-based framework that generates structures of amorphous materials. First, we demonstrate the inherent challenges for diffusion models to generate relaxed structures. These low-energy configurations are typically obtained through a thermal motion-driven random search-like process that cannot be replicated by standard denoising procedures. We therefore introduce an energy-based AMDEN variant that implements Hamiltonian Monte Carlo refinement for generating these relaxed structures. We further introduce several amorphous material datasets with diverse properties and compositions to evaluate our framework and support future development.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Chemistry and Bioscience Aalborg University Aalborg Øst Denmark",
    "Department of Computer Science Aalborg University Aalborg Øst Denmark",
    "Department of Applied Physics The Hong Kong Polytechnic University Kowloon Hong Kong China",
    "School of Data Science and Engineering East China Normal University Shanghai China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jonas A. Finkler",
      "orcid": "0000-0003-4970-575X"
    },
    {
      "affs": [
        1
      ],
      "name": "Yan Lin",
      "orcid": "0000-0002-2320-9777"
    },
    {
      "affs": [
        2
      ],
      "name": "Tao Du"
    },
    {
      "affs": [
        1,
        3
      ],
      "name": "Jilin Hu",
      "orcid": "0000-0001-7118-4781"
    },
    {
      "affs": [
        0
      ],
      "name": "Morten M. Smedskjær",
      "orcid": "0000-0003-0476-2021"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/00j5zr6m4ckv0.bib",
  "cited_by": 6,
  "doi": "10.1002/adma.202522493",
  "fulltext_url": null,
  "id": "00j5zr6m4ckv0",
  "issns": [
    "0935-9648",
    "1521-4095"
  ],
  "landing_url": "https://doi.org/10.1002/adma.202522493",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2505|Machine Learning in Materials Science"
    ]
  ],
  "openalex": "W4415318454",
  "pdf_url": null,
  "pmcid": "PMC13361175",
  "pmid": "42261630",
  "published": "2026-06-09",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/00j5zr6m4ckv0.ris",
  "sources": [
    {
      "first_seen": "2026-11-07T13:21:07Z",
      "native_id": "W4415318454",
      "source": "openalex",
      "url": "https://doi.org/10.1002/adma.202522493"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2505|Machine Learning in Materials Science",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Inverse Design of Amorphous Materials With Targeted Properties",
  "title_text": "Inverse Design of Amorphous Materials With Targeted Properties",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T13:21:23Z",
  "url": "https://research.draconitic.com/paper/00j5zr6m4ckv0",
  "venue": "Advanced Materials",
  "versions": []
}