Issue 7, 2024

Autonomous laboratories for accelerated materials discovery: a community survey and practical insights

Abstract

What are researchers' motivations and challenges related to automation and autonomy in materials science laboratories? Our survey on this topic received 102 responses from researchers across a variety of institutions and in a variety of roles. Accelerated discovery was a clear theme in the responses, and another theme was concern about the role of human researchers. Survey respondents shared a variety of use cases targeting accelerated materials discovery, including examples where partial automation is preferred over full self-driving laboratories. Building on the observed patterns of researcher priorities and needs, we propose a framework for levels of laboratory autonomy from non-automated (L0) to fully autonomous (L5).

Graphical abstract: Autonomous laboratories for accelerated materials discovery: a community survey and practical insights

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Article information

Article type
Opinion
Submitted
27 Feb 2024
Accepted
30 May 2024
First published
31 May 2024
This article is Open Access
Creative Commons BY-NC license

Digital Discovery, 2024,3, 1273-1279

Autonomous laboratories for accelerated materials discovery: a community survey and practical insights

L. Hung, J. A. Yager, D. Monteverde, D. Baiocchi, H. Kwon, S. Sun and S. Suram, Digital Discovery, 2024, 3, 1273 DOI: 10.1039/D4DD00059E

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