Materials Data Mining

Materials Data Mining is a computational methodology within materials informatics that systematically extracts, analyzes, and interprets patterns, relationships, and knowledge from large-scale materials datasets to accelerate the discovery and design of novel materials.

550

Publications

61.6K

Citations

2.2K

Authors

698

Institutions

Publications per year

2017–2026

401

Authors

2.2K

  1. KA
    Kristin A. Persson

    Lawrence Berkeley National Laboratory, United States

    14 publications · 16.4K citations

    14

    h-index

  2. GC
    Gerbrand Ceder

    Massachusetts Institute of Technology, United States

    12 publications · 15.3K citations

    12

    h-index

  3. KR
    Krishna Rajan

    Iowa State University, United States

    12 publications · 404 citations

    11

    h-index

  4. JM
    John M. Gregoire

    California Institute of Technology, United States

    10 publications · 507 citations

    10

    h-index

  5. AJ
    Anubhav Jain

    Lawrence Berkeley National Laboratory, United States

    10 publications · 16K citations

    10

    h-index

1–5 of 2.2K

Venues

  1. npj Computational Materials

    29 publications · 5.6K citations

    26

    h-index

  2. Computational Materials Science

    22 publications · 4K citations

    19

    h-index

  3. Scientific Data

    12 publications · 1.5K citations

    12

    h-index

  4. Digital Discovery

    11 publications · 323 citations

    11

    h-index

  5. Chemistry of Materials

    10 publications · 1.2K citations

    10

    h-index

1–5