Concepedia

Automated Materials Characterization

Automated Materials Characterization is a computational methodology within high-throughput materials screening that enables the systematic, instrument-driven analysis of material properties with minimal human intervention, distinguishing itself by integrating robotic instrumentation, data acquisition software, and analytical algorithms to rapidly and reproducibly extract structural, chemical, or functional characteristics of materials.

139

Publications

7.1K

Citations

574

Authors

212

Institutions

Publications per year

2017–2026

105

Parents

Publications

139

The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles

Shyue Ping Ong, Shreyas Cholia, Anubhav Jain et al. · Computational Materials Science · 2014 · 494 citations · Full text

, , +17

Machine learning enabled autonomous microstructural characterization in 3D samples

Henry Chan, Mathew J. Cherukara, Troy D. Loeffler et al. · npj Computational Materials · 2020 · 402 citations · Full text

, , +17

Discovery of new materials using combinatorial synthesis and high-throughput characterization of thin-film materials libraries combined with computational methods

Alfred Ludwig · npj Computational Materials · 2019 · 364 citations · Full text

, , +17

Autonomous experimentation systems for materials development: A community perspective

Eric A. Stach, Brian DeCost, A. Gilad Kusne et al. · Matter · 2021 · 359 citations · Full text

, , +13

Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design

Aanchna Sharma, T. Mukhopadhyay, Sanjay Mavinkere Rangappa et al. · Archives of Computational Methods in Engineering · 2022 · 249 citations

, , +16

1–5 of 139

Authors

574

  1. JH
    Jason Hattrick‐Simpers

    National Institute of Standards and Technology, United States

    3 publications · 435 citations

    3

    h-index

  2. AA
    Alán Aspuru‐Guzik

    Harvard University, United States

    3 publications · 173 citations

    3

    h-index

  3. CP
    Carla P. Gomes

    Cornell University, United States

    3 publications · 384 citations

    3

    h-index

  4. HH
    Han Hao

    University of Toronto, Canada

    3 publications · 173 citations

    3

    h-index

  5. JM
    John M. Gregoire

    California Institute of Technology, United States

    3 publications · 384 citations

    3

    h-index

1–5 of 574

Institutions

212

  1. National Institute of Standards and Technology

    Gaithersburg, United States

    5 h-index

    11 publications

    1.3K citations

  2. Shanghai University

    Shanghai, China

    4 h-index

    8 publications

    246 citations

  3. Argonne National Laboratory

    Lemont, United States

    4 h-index

    14 publications

    2.7K citations

  4. University of Toronto

    Toronto, Canada

    4 h-index

    22 publications

    1.5K citations

  5. National Institute for Materials Science

    Tsukuba, Japan

    3 h-index

    6 publications

    123 citations

  6. University of Manchester

    Manchester, United Kingdom

    3 h-index

    9 publications

    290 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    5 publications

    1.6K citations

  8. Lawrence Berkeley National Laboratory

    Berkeley, United States

    3 h-index

    7 publications

    2.9K citations

1–8 of 212

Venues

  1. Computational Materials Science

    6 publications · 981 citations

    6

    h-index

  2. npj Computational Materials

    5 publications · 1K citations

    5

    h-index

  3. Matter

    4 publications · 711 citations

    4

    h-index

  4. Digital Discovery

    2 publications · 34 citations

    3

    h-index

  5. Machine Learning Science and Technology

    2 publications · 37 citations

    3

    h-index

1–5