Concepedia

Data-driven Materials Discovery

Data-Driven Materials Discovery is a research paradigm within materials informatics that leverages large-scale experimental or computational datasets, advanced statistical learning techniques, and predictive modeling to identify novel materials with targeted properties, distinguished from traditional discovery approaches by its reliance on empirical data patterns rather than solely on physical first-principles or intuition-guided experimentation.

1.1K

Publications

114.9K

Citations

4K

Authors

908

Institutions

Publications per year

2017–2026

868

Parents

Publications

1.1K

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier et al. · APL Materials · 2013 · 12.7K citations · Full text

, , +17

Recent advances and applications of machine learning in solid-state materials science

Jonathan Schmidt, Mário R. G. Marques, Silvana Botti et al. · npj Computational Materials · 2019 · 2.4K citations · Full text

, , +11

Machine learning in materials informatics: recent applications and prospects

Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania et al. · npj Computational Materials · 2017 · 1.8K citations · Full text

, , +17

Machine-learning-assisted materials discovery using failed experiments

Paul Raccuglia, Katherine C. Elbert, Philip Adler et al. · Nature · 2016 · 1.7K citations

, , +12

AFLOW: An automatic framework for high-throughput materials discovery

Stefano Curtarolo, Wahyu Setyawan, Gus L. W. Hart et al. · Computational Materials Science · 2012 · 1.5K citations · Full text

, , +14

1–5 of 1.1K

Authors

4K

  1. KA
    Kristin A. Persson

    Lawrence Berkeley National Laboratory, United States

    24 publications · 17.6K citations

    22

    h-index

  2. AJ
    Anubhav Jain

    Lawrence Berkeley National Laboratory, United States

    19 publications · 18.6K citations

    19

    h-index

  3. BM
    Bryce Meredig

    Citrine Informatics (United States), United States

    18 publications · 2.8K citations

    17

    h-index

  4. KC
    Kamal Choudhary

    National Institute of Standards and Technology, United States

    16 publications · 2.6K citations

    16

    h-index

  5. JM
    John M. Gregoire

    California Institute of Technology, United States

    21 publications · 1.6K citations

    16

    h-index

1–5 of 4K

Institutions

908

  1. Lawrence Berkeley National Laboratory

    Berkeley, United States

    36 h-index

    180 publications

    183.7K citations

  2. Northwestern University

    Evanston, United States

    33 h-index

    151 publications

    30.8K citations

  3. National Institute of Standards and Technology

    Gaithersburg, United States

    33 h-index

    125 publications

    25.5K citations

  4. University of California, Berkeley

    Berkeley, United States

    30 h-index

    99 publications

    23.2K citations

  5. Massachusetts Institute of Technology

    Cambridge, United States

    29 h-index

    160 publications

    156.5K citations

  6. University of Cambridge

    Cambridge, United Kingdom

    25 h-index

    68 publications

    11K citations

  7. Shanghai University

    Shanghai, China

    22 h-index

    95 publications

    9.3K citations

  8. National Institute for Materials Science

    Tsukuba, Japan

    22 h-index

    89 publications

    5.6K citations

1–8 of 908

Venues

  1. npj Computational Materials

    92 publications · 15.5K citations

    53

    h-index

  2. Chemistry of Materials

    34 publications · 5.1K citations

    27

    h-index

  3. Nature Communications

    25 publications · 4.4K citations

    24

    h-index

  4. Computational Materials Science

    28 publications · 5.2K citations

    24

    h-index

  5. MRS Bulletin

    20 publications · 977 citations

    18

    h-index

1–5