Analysis of Kohn-Sham Eigenfunctions Using a Convolutional Neural Network in Simulations of the Metal-Insulator Transition in Doped Semiconductors

• Yosuke Harashima

• Tomohiro Mano

• Keith Slevin

• Tomi Ohtsuki

Journal

• Journal of the Physical Society of Japan

  Journal of the Physical Society of Japan 90 (9), 094001-, 2021-09

  Tokyo : Physical Society of Japan

Keywords

• General Physics and Astronomy

Details

• CRID: 1521980706152044928
• NII Article ID: 40022680219
• NII Article ID: 210000159249
• NII Book ID: AA00704814
• ISSN: 00319015
• ISSN: 13474073
• DOI: 10.7566/jpsj.90.094001
• NDL BIB ID: 031677553
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I031677553
• Web Site: https://journals.jps.jp/doi/pdf/10.7566/JPSJ.90.094001
• Text Lang: en
• NDL Source Classification:
  • ZM35(科学技術--物理学)
• Data Source:
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN