2d14dd3e78de5da15690 · Machine learning modeling of superconducting critical temperature

{
  "title_en": "Machine learning modeling of superconducting critical temperature",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2018-06-28",
  "date_original": "June 28, 2018",
  "url": "https://www.nist.gov/publications/machine-learning-modeling-superconducting-critical-temperature",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Aaron Gilad Kusne , Valentin Stanev, Ichiro Takeuchi",
  "abstract_excerpt_en": "Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical",
  "id": "2d14dd3e78de5da15690",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Machine learning modeling of superconducting critical temperature",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2018-06-28",
      "date_original": "June 28, 2018",
      "url": "https://www.nist.gov/publications/machine-learning-modeling-superconducting-critical-temperature",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Aaron Gilad Kusne , Valentin Stanev, Ichiro Takeuchi",
      "abstract_excerpt_en": "Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical"
    }
  ],
  "translation_state": "none"
}