Force Field Optimization

Force Field Optimization is a computational methodology in molecular modeling that systematically refines empirical parameters of a force field to improve the accuracy of predicted physical properties relative to experimental or high-level quantum mechanical reference data.

547

Publications

59.6K

Citations

1.7K

Authors

597

Institutions

Publications per year

2017–2026

173

Variants

Force Field Parameterization

Authors

1.7K

  1. AD
    Alexander D. MacKerell

    University of Maryland, Baltimore, United States

    23 publications · 10K citations

    20

    h-index

  2. AC
    Adri C. T. van Duin

    Pennsylvania State University, United States

    17 publications · 1.2K citations

    16

    h-index

  3. LW
    Lee‐Ping Wang

    University of California, Davis, United States

    9 publications · 606 citations

    9

    h-index

  4. HA
    Harold A. Scheraga

    Cornell University, United States

    8 publications · 576 citations

    8

    h-index

  5. DL
    David L. Mobley

    University of California, Irvine, United States

    8 publications · 374 citations

    8

    h-index

1–5 of 1.7K

Venues

  1. Journal of Chemical Theory and Computation

    JCTC · 53 publications · 12.6K citations

    34

    h-index

  2. The Journal of Physical Chemistry B

    44 publications · 3K citations

    30

    h-index

  3. Journal of Computational Chemistry

    42 publications · 13.5K citations

    29

    h-index

  4. The Journal of Chemical Physics

    27 publications · 1.2K citations

    19

    h-index

  5. The Journal of Physical Chemistry A

    17 publications · 1K citations

    15

    h-index

1–5