ThinkFactory 2025 : community discussion on harmonizing and accelerating self-driving laboratories
Pickles, Thomas and Baird, Sterling G. and Salehian, Mohammad and Florence, Alastair J. (2026) ThinkFactory 2025 : community discussion on harmonizing and accelerating self-driving laboratories. Matter, 9 (5). 102757. ISSN 2590-2385 (https://doi.org/10.1016/j.matt.2026.102757)
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Abstract
ThinkFactory 2025 was a virtual workshop jointly hosted by the Acceleration Consortium and CMAC to facilitate discussion on harmonizing and accelerating self-driving laboratories. The three-hour event brought together more than 50 participants for plenary and breakout discussion across four themed tracks: AI and machine learning, data, orchestration, and robotics. Key priorities highlighted by the community included the need for clearer benchmarks to demonstrate value, improved accessibility for experimentalists without programming expertise, and stronger standards for interoperability, safety, and reproducibility. Participants also emphasised the importance of structured human–AI collaboration and shared infrastructure to promote openness and efficiency. This paper outlines the event structure and design and key discussion insights, providing a reproducible framework for hosting collaborative, cross-institutional virtual workshops.
ORCID iDs
Pickles, Thomas
ORCID: https://orcid.org/0009-0006-3377-3124, Baird, Sterling G., Salehian, Mohammad
ORCID: https://orcid.org/0000-0003-4073-292X and Florence, Alastair J.
ORCID: https://orcid.org/0000-0002-9706-8364;
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Item type: Article ID code: 95936 Dates: DateEvent6 May 2026Published31 March 2026Published Online6 March 2026AcceptedSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Strategic Research Themes > Advanced Manufacturing and Materials
Technology and Innovation Centre > Continuous Manufacturing and Crystallisation (CMAC)Depositing user: Pure Administrator Date deposited: 02 Apr 2026 14:25 Last modified: 10 Jun 2026 17:04 URI: https://strathprints.strath.ac.uk/id/eprint/95936
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