Free Energy Optimization

Free Energy Optimization is an academic concept referring to a computational or theoretical framework within statistical mechanics and machine learning that minimizes a free energy function to simultaneously optimize accuracy and complexity in probabilistic models.

23

Publications

1.2K

Citations

80

Authors

58

Institutions

Publications per year

2017–2026

7

Authors

80

  1. AP
    Alexandre Pitti

    CY Cergy Paris Université, France

    2 publications · 32 citations

    2

    h-index

  2. MQ
    Mathias Quoy

    CY Cergy Paris Université, France

    2 publications · 32 citations

    2

    h-index

  3. YW
    Yujie Wu

    Peking University, China

    1 publications · 155 citations

    1

    h-index

  4. DA
    Damianos Agathangelou

    Université de Strasbourg, France

    1 publications · 41 citations

    1

    h-index

  5. WY
    Wei Yang

    Florida State University, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 80

Venues

  1. The Journal of Physical Chemistry B

    2 publications · 61 citations

    2

    h-index

  2. Journal of Chemical Theory and Computation

    JCTC · 2 publications · 97 citations

    2

    h-index

  3. Nucleic Acids Research

    1 publications · 80 citations

    1

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 63 citations

    1

    h-index

  5. Artificial Intelligence in the Life Sciences

    1 publications · 65 citations

    1

    h-index

1–5