8fb2693d58da8f8d90e8 · Machine Learning-driven Process-Structure-Property Analytical Framework for Additive Manufacturing

{
  "title_en": "Machine Learning-driven Process-Structure-Property Analytical Framework for Additive Manufacturing",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2023-04-01",
  "date_original": "April 1, 2023",
  "url": "https://www.nist.gov/publications/machine-learning-driven-process-structure-property-analytical-framework-additive",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Hyunwoong Ko, Zhuo Yang , Yande Ndiaye , Paul Witherell , Yan Lu",
  "abstract_excerpt_en": "Data analytics with Machine Learning (ML) and Artificial Intelligence (AI) offers high potential to continuously transform AM data to newfound knowledge of Process-Structure-Property (PSP) relationships. In AM, however, realizing the potential is still",
  "id": "8fb2693d58da8f8d90e8",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Machine Learning-driven Process-Structure-Property Analytical Framework for Additive Manufacturing",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2023-04-01",
      "date_original": "April 1, 2023",
      "url": "https://www.nist.gov/publications/machine-learning-driven-process-structure-property-analytical-framework-additive",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Hyunwoong Ko, Zhuo Yang , Yande Ndiaye , Paul Witherell , Yan Lu",
      "abstract_excerpt_en": "Data analytics with Machine Learning (ML) and Artificial Intelligence (AI) offers high potential to continuously transform AM data to newfound knowledge of Process-Structure-Property (PSP) relationships. In AM, however, realizing the potential is still"
    }
  ],
  "translation_state": "none"
}