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ThinkFactory 2025: community discussion on harmonizing and accelerating self-driving laboratories

Thomas Pickles*, Sterling G. Baird, Mohammad Salehian, Alastair J. Florence

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number102757
JournalMatter
Early online date31 Mar 2026
DOIs
Publication statusE-pub ahead of print - 31 Mar 2026

Funding

This work was supported by the Canada First Research Excellence Fund (CFREF-2022-00042), through the Acceleration Consortium at the University of Toronto, and by the EPSRC MediForge Hub (Grant EP/Z532964/1), through CMAC at the University of Strathclyde.

Keywords

  • self-driving laboratories
  • accessibility
  • standards

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