High-throughput Computation

High-Throughput Computation is a computational methodology that systematically and rapidly executes large-scale simulations or calculations on diverse material structures or chemical compositions to accelerate materials discovery and characterization.

773

Publications

113.9K

Citations

3.6K

Authors

1K

Institutions

Publications per year

2017–2026

402

Authors

3.6K

  1. KA
    Kristin A. Persson

    Lawrence Berkeley National Laboratory, United States

    13 publications · 14.8K citations

    13

    h-index

  2. SP
    Shyue Ping Ong

    University of California San Diego, United States

    8 publications · 14.1K citations

    8

    h-index

  3. ZY
    Zhu‐Hong You

    Xinjiang Technical Institute of Physics & Chemistry, China

    7 publications · 376 citations

    7

    h-index

  4. AJ
    Anubhav Jain

    Lawrence Berkeley National Laboratory, United States

    6 publications · 14.1K citations

    6

    h-index

  5. SC
    Stefano Curtarolo

    Duke University, United States

    6 publications · 2.6K citations

    6

    h-index

1–5 of 3.6K

Venues

  1. Bioinformatics

    36 publications · 27.9K citations

    26

    h-index

  2. npj Computational Materials

    19 publications · 1.4K citations

    18

    h-index

  3. Scientific Reports

    18 publications · 720 citations

    16

    h-index

  4. Computational Materials Science

    14 publications · 2.4K citations

    14

    h-index

  5. arXiv (Cornell University)

    Repository · 17 publications · 645 citations

    14

    h-index

1–5