Concepedia

Moment Tensor Potentials

Moment Tensor Potentials is a machine learning-based interatomic potential method that uses moment tensors as symmetry-preserving descriptors to accurately represent atomic environments and predict material properties with high fidelity.

52

Publications

4.4K

Citations

167

Authors

83

Institutions

Publications per year

2017–2026

36

Variants

Mtps

Parents

Publications

52

Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials

Alexander V. Shapeev · Multiscale Modeling and Simulation · 2016 · 1.5K citations · Full text

, , +12

Machine learning for interatomic potential models

Tim Mueller, Alberto Hernández, Chuhong Wang · The Journal of Chemical Physics · 2020 · 378 citations · Full text

, , +14

Moment Tensor Potentials

Alexander V. Shapeev · arXiv (Cornell University) · 2016 · 257 citations · Full text

, , +13

A New Coarse-Grained Model for Water: The Importance of Electrostatic Interactions

Zhe Wu, Qiang Cui, Arun Yethiraj · The Journal of Physical Chemistry B · 2010 · 188 citations

, , +17

Lithium Ion Conduction in Cathode Coating Materials from On-the-Fly Machine Learning

Chuhong Wang, Koutarou Aoyagi, Pandu Wisesa et al. · Chemistry of Materials · 2020 · 121 citations · Full text

, , +17

1–5 of 52

Authors

167

  1. AV
    Alexander V. Shapeev

    Skolkovo Institute of Science and Technology, Russia

    8 publications · 2.1K citations

    8

    h-index

  2. SP
    Shyue Ping Ong

    University of California San Diego, United States

    5 publications · 413 citations

    5

    h-index

  3. EV
    Evgeny V. Podryabinkin

    Skolkovo Institute of Science and Technology, Russia

    3 publications · 238 citations

    3

    h-index

  4. JQ
    Ji Qi

    University of California San Diego, United States

    3 publications · 263 citations

    3

    h-index

  5. MM
    Mitsuhiro Matsu’ura

    The University of Tokyo, Japan

    3 publications · 107 citations

    3

    h-index

1–5 of 167

Institutions

83

  1. Skolkovo Institute of Science and Technology

    Skolkovo, Russia

    9 h-index

    19 publications

    2.5K citations

  2. University of California San Diego

    San Diego, United States

    5 h-index

    17 publications

    1.4K citations

  3. Moscow Institute of Physics and Technology

    Dolgoprudnyy, Russia

    3 h-index

    6 publications

    434 citations

  4. Nagoya University

    Nagoya, Japan

    3 h-index

    3 publications

    130 citations

  5. The Institute of Statistical Mathematics

    Tokyo, Japan

    2 h-index

    2 publications

    84 citations

  6. The University of Tokyo

    Tokyo, Japan

    2 h-index

    4 publications

    92 citations

  7. University of Wisconsin–Madison

    Madison, United States

    2 h-index

    6 publications

    666 citations

  8. University of Stuttgart

    Stuttgart, Germany

    2 h-index

    7 publications

    359 citations

1–8 of 83

Venues

  1. Geophysical Journal International

    GJI · 3 publications · 155 citations

    3

    h-index

  2. npj Computational Materials

    3 publications · 221 citations

    3

    h-index

  3. Applied Physics Letters

    2 publications · 71 citations

    2

    h-index

  4. The Journal of Chemical Physics

    2 publications · 469 citations

    2

    h-index

  5. ACS Applied Materials & Interfaces

    2 publications · 73 citations

    2

    h-index

1–5