Potential Energy Surface Optimization

Potential Energy Surface Optimization is a computational methodology in theoretical and physical chemistry that involves the systematic refinement of stationary points and reaction pathways on a potential energy surface to identify energetically favorable configurations and transition states.

469

Publications

30.4K

Citations

1.2K

Authors

529

Institutions

Publications per year

2017–2026

102

Authors

1.2K

  1. ZL
    Zhi‐Pan Liu

    Fudan University, China

    9 publications · 998 citations

    9

    h-index

  2. HF
    Henry F. Schaefer

    University of Georgia, United States

    9 publications · 393 citations

    9

    h-index

  3. SM
    Satoshi Maeda

    Hokkaido University, Japan

    9 publications · 1.1K citations

    9

    h-index

  4. CS
    Cheng Shang

    Fudan University, China

    8 publications · 926 citations

    8

    h-index

  5. KO
    Koichi Ohno

    Tohoku University, Japan

    8 publications · 1K citations

    8

    h-index

1–5 of 1.2K

Venues

  1. The Journal of Chemical Physics

    108 publications · 8.3K citations

    48

    h-index

  2. The Journal of Physical Chemistry A

    64 publications · 5.8K citations

    30

    h-index

  3. Journal of Chemical Theory and Computation

    JCTC · 32 publications · 2K citations

    22

    h-index

  4. Journal of Computational Chemistry

    21 publications · 1.1K citations

    16

    h-index

  5. Physical Chemistry Chemical Physics

    PCCP · 18 publications · 606 citations

    15

    h-index

1–5