Catalyst Discovery

Catalyst Discovery is a high-throughput materials screening methodology that systematically identifies and optimizes catalytic materials by integrating computational modeling, automated experimentation, and data-driven analysis to accelerate the development of novel catalysts with targeted performance properties.

2.5K

Publications

167.3K

Citations

9.2K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.1K

Authors

9.2K

  1. KT
    Keisuke Takahashi

    Hokkaido University, Japan

    21 publications · 1K citations

    19

    h-index

  2. ZW
    Zachary W. Ulissi

    Carnegie Mellon University, United States

    23 publications · 4.8K citations

    19

    h-index

  3. AC
    Avelino Corma

    Instituto de Tecnología Química, Spain

    16 publications · 819 citations

    16

    h-index

  4. CS
    Chae S. Yi

    Marquette University, United States

    15 publications · 783 citations

    15

    h-index

  5. JL
    Jochen Lauterbach

    University of South Carolina, United States

    15 publications · 975 citations

    14

    h-index

1–5 of 9.2K

Venues

  1. Journal of the American Chemical Society

    JACS · 116 publications · 18.6K citations

    73

    h-index

  2. ACS Catalysis

    104 publications · 10.2K citations

    58

    h-index

  3. Journal of Catalysis

    85 publications · 6.6K citations

    47

    h-index

  4. Angewandte Chemie International Edition

    62 publications · 8.2K citations

    46

    h-index

  5. Applied Catalysis A General

    80 publications · 3.9K citations

    40

    h-index

1–5