MDR
  • About
  • Help
  • Contact
  • 表示言語の変更
    日本語 English
  1. Home
  2. Article and Dataset

  • Article(2)
  • unsupervised learning (2)
  • Density Functional Theory (DFT) (1)
  • EBSD (1)
  • Machine Learning (1)
  • Molecular Dynamics(MD) (1)
  • hydrogen permeation (1)
  • local structure analysis (1)
  • silica (1)
  • stainless steel (1)
(more)
  • Creative Commons BY Attribution 4.0 International (1)
  • Creative Commons BY-NC Attribution-NonCommercial 4.0 International (1)
  • application/pdf (2)
Keyword: unsupervised learning
Reset all filters

2 records found.

d3cp06298h.pdf
Extraction of local structure differences in silica based on unsupervised learning
Article
Creator
Anh Khoa Augustin Lu SAMURAI ORCID ; Jianbo Lin ORCID ; Yasunori Futamura ; Tetsuya Sakurai ; Ryo Tamura SAMURAI ORCID ; Tsuyoshi Miyazaki SAMURAI ORCID
Keyword
silica, unsupervised learning, Machine Learning, Molecular Dynamics(MD), Density Functional Theory (DFT), local structure analysis
Date published
2024-03-28
Updated at
2024-08-20 08:30:29 +0900

2023_Aoyagi_eJSSNT.pdf
Classification of EBSD Kikuchi patterns for stainless steel by unsupervised learning methods to investigate grain boundaries
Article
Creator
Satoka Aoyagi ; Daisuke Hayashi ; Yoshiharu Murase SAMURAI ORCID ; Naoya Miyauchi SAMURAI ORCID ; Akiko N. Itakura SAMURAI ORCID
Keyword
hydrogen permeation, EBSD, stainless steel, unsupervised learning
Date published
2023-02-25
Updated at
2024-01-05 22:11:33 +0900

Keyword
  • unsupervised learning (2)
  • Density Functional Theory (DFT) (1)
  • EBSD (1)
  • Machine Learning (1)
  • Molecular Dynamics(MD) (1)
  • hydrogen permeation (1)
  • local structure analysis (1)
  • silica (1)
  • stainless steel (1)
RDE metadata def
RDE invoice schema
  • <
  • 1
  • >

National Institute for Materials Science

Research Network and Facility Services Division (RNFS)
Materials Data Platform

Contact

  • Terms of use
  • Privacy Policy
  • Researchers Directory SAMURAI
  • NIMS Digital Library
  • Data Platform DICE
© National Institute for Materials Science. Datasets are available under licenses specified on their pages.