Materials Structure Prediction

Materials Structure Prediction is a computational methodology within materials science that identifies the most stable atomic arrangements of a given material by predicting its crystal structure from chemical composition and physical principles.

695

Publications

46.6K

Citations

2.3K

Authors

778

Institutions

Publications per year

2017–2026

442

Authors

2.3K

  1. AR
    Artem R. Oganov

    Skolkovo Institute of Science and Technology, Russia

    11 publications · 991 citations

    11

    h-index

  2. YM
    Yanming Ma

    Jilin University, China

    11 publications · 2.4K citations

    11

    h-index

  3. CW
    Cai‐Zhuang Wang

    Iowa State University, United States

    7 publications · 120 citations

    10

    h-index

  4. AB
    A. Bouhemadou

    University Ferhat Abbas of Setif, Algeria

    8 publications · 250 citations

    8

    h-index

  5. JC
    J. Christian Schön

    Max Planck Institute for Solid State Research, Germany

    8 publications · 276 citations

    8

    h-index

1–5 of 2.3K

Venues

  1. The Journal of Physical Chemistry C

    25 publications · 1.1K citations

    19

    h-index

  2. Computational Materials Science

    24 publications · 1.2K citations

    18

    h-index

  3. npj Computational Materials

    19 publications · 2.7K citations

    18

    h-index

  4. The Journal of Chemical Physics

    18 publications · 1.2K citations

    16

    h-index

  5. Chemistry of Materials

    18 publications · 2.3K citations

    16

    h-index

1–5