The future of self-driving laboratories: from human in the loop interactive AI to gamification

Author:

Hysmith Holland1ORCID,Foadian Elham2,Padhy Shakti P.2,Kalinin Sergei V.23,Moore Rob G.4,Ovchinnikova Olga S.25,Ahmadi Mahshid2ORCID

Affiliation:

1. Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN 37996, USA

2. Institute for Advanced Materials and Manufacturing, Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN, 37996, USA

3. Pacific Northwest National Laboratory, Richland, WA 99354, USA

4. Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA

5. Thermo Fisher Scientific, Carlsbad, CA 92008, USA

Abstract

Self-driving laboratories (SDLs) are the future for scientific discovery in a world growing with artificial intelligence. The interaction between scientists and automated instrumentation are leading conversations about the impact of SDLs on research.

Funder

Alfred P. Sloan Foundation

National Science Foundation

Advanced Scientific Computing Research

Nuclear Physics

U.S. Department of Energy

Basic Energy Sciences

High Energy Physics

Fusion Energy Sciences

Publisher

Royal Society of Chemistry (RSC)

Reference144 articles.

1. J. D.Martin and C. C. M.Mody , Materials Science, Encyclopedia of the History of Science , 2020

2. C. K. N.Patel , D. S.Kukich , R. L.McCullough , L. A.Girifalco , R. E.Marchant and J. D.Venables , Materials science, Encyclopedia Britannica , 2024 , https://www.britannica.com/technology/materials-science

3. Machine learning-driven new material discovery

4. Autonomous (AI-driven) materials science

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