Self-driving Laboratories

Self-Driving Laboratories is a cyber-physical system that integrates artificial intelligence, automated experimentation, and data analytics to iteratively design, execute, and interpret materials science experiments with minimal human intervention.

66

Publications

4K

Citations

321

Authors

145

Institutions

Publications per year

2017–2026

66

Variants

Autonomous LaboratoriesSelf-driving Labs

Authors

321

  1. AA
    Alán Aspuru‐Guzik

    Harvard University, United States

    15 publications · 1.3K citations

    15

    h-index

  2. MA
    Milad Abolhasani

    North Carolina State University, United States

    11 publications · 887 citations

    11

    h-index

  3. RJ
    Riley J. Hickman

    University of Toronto, Canada

    8 publications · 245 citations

    9

    h-index

  4. LM
    Loı̈c M. Roch

    Canadian Institute for Advanced Research, Canada

    7 publications · 788 citations

    7

    h-index

  5. FH
    Florian Häse

    Canadian Institute for Advanced Research, Canada

    6 publications · 770 citations

    6

    h-index

1–5 of 321

Venues

  1. Digital Discovery

    8 publications · 334 citations

    9

    h-index

  2. Nature Communications

    8 publications · 686 citations

    8

    h-index

  3. ChemRxiv

    Repository · 4 publications · 81 citations

    5

    h-index

  4. Advanced Intelligent Systems

    4 publications · 100 citations

    4

    h-index

  5. Matter

    3 publications · 189 citations

    3

    h-index

1–5