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3c2edb60c5abe7b0aea5 · {A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al

{A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al

Based on a set of machine learning predictions of glass formation in the Ni-Ti-Al system, we have undertaken a high-throughput experimental study of that system. We utilized rapid synthesis followed by high- throughput structural and electrochemical

Официальный источник · 2020-06-04

Полные импортированные сведения карточки
{
  "title_en": "{A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-06-04",
  "date_original": "June 4, 2020",
  "url": "https://www.nist.gov/publications/high-throughput-structural-and-electrochemical-study-metallic-glass-formation-ni-ti-al",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Howard L. Joress , Brian L. DeCost , Suchismita Sarker, Trevor M. Braun , Logan T. Ward, Kevin Laws, Apurva Mehta, Jason R. Hattrick-Simpers",
  "abstract_excerpt_en": "Based on a set of machine learning predictions of glass formation in the Ni-Ti-Al system, we have undertaken a high-throughput experimental study of that system. We utilized rapid synthesis followed by high- throughput structural and electrochemical",
  "id": "3c2edb60c5abe7b0aea5",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "{A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2020-06-04",
      "date_original": "June 4, 2020",
      "url": "https://www.nist.gov/publications/high-throughput-structural-and-electrochemical-study-metallic-glass-formation-ni-ti-al",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Howard L. Joress , Brian L. DeCost , Suchismita Sarker, Trevor M. Braun , Logan T. Ward, Kevin Laws, Apurva Mehta, Jason R. Hattrick-Simpers",
      "abstract_excerpt_en": "Based on a set of machine learning predictions of glass formation in the Ni-Ti-Al system, we have undertaken a high-throughput experimental study of that system. We utilized rapid synthesis followed by high- throughput structural and electrochemical"
    }
  ],
  "translation_state": "none"
}