69db1af1a970f04c9285 · AI for Materials

{
  "title_en": "AI for Materials",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2023-04-25",
  "date_original": "April 25, 2023",
  "url": "https://www.nist.gov/publications/ai-materials",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Debra Audus , Kamal Choudhary , Brian DeCost , Aaron Kusne , Francesca Tavazza , James Warren",
  "abstract_excerpt_en": "The application of artificial intelligence (AI) methods to materials re- search and development (MR&D) is poised to radically reshape how materials are discovered, designed, and deployed into manufactured products. Materials underpin modern life, and",
  "id": "69db1af1a970f04c9285",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "AI for Materials",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2023-04-25",
      "date_original": "April 25, 2023",
      "url": "https://www.nist.gov/publications/ai-materials",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Debra Audus , Kamal Choudhary , Brian DeCost , Aaron Kusne , Francesca Tavazza , James Warren",
      "abstract_excerpt_en": "The application of artificial intelligence (AI) methods to materials re- search and development (MR&D) is poised to radically reshape how materials are discovered, designed, and deployed into manufactured products. Materials underpin modern life, and"
    }
  ],
  "translation_state": "none"
}