High-throughput Materials Screening

High-Throughput Materials Screening is a computational methodology in materials science that systematically evaluates large collections of materials properties using automated simulations and data analytics to accelerate the discovery and optimization of novel materials.

1.3K

Publications

124.5K

Citations

4.7K

Authors

1K

Institutions

Publications per year

2017–2026

1K

Authors

4.7K

  1. KA
    Kristin A. Persson

    Lawrence Berkeley National Laboratory, United States

    25 publications · 17.6K citations

    23

    h-index

  2. RQ
    Randall Q. Snurr

    Northwestern University, United States

    18 publications · 3K citations

    16

    h-index

  3. GH
    Geoffroy Hautier

    UCLouvain, Belgium

    14 publications · 14.7K citations

    14

    h-index

  4. AJ
    Anubhav Jain

    Lawrence Berkeley National Laboratory, United States

    12 publications · 15.9K citations

    14

    h-index

  5. SK
    Seda Keskın

    Koç University, Türkiye

    14 publications · 1.7K citations

    14

    h-index

1–5 of 4.7K

Venues

  1. npj Computational Materials

    65 publications · 8.1K citations

    44

    h-index

  2. Chemistry of Materials

    56 publications · 7K citations

    38

    h-index

  3. ACS Applied Materials & Interfaces

    39 publications · 2.6K citations

    27

    h-index

  4. The Journal of Physical Chemistry C

    38 publications · 2.6K citations

    27

    h-index

  5. Nature Communications

    28 publications · 4K citations

    26

    h-index

1–5