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 language | English |
|---|---|
| Article number | 102757 |
| Journal | Matter |
| Early online date | 31 Mar 2026 |
| DOIs | |
| Publication status | E-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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