Exploratory study reveals the potential of SDLs to optimize materials, suggesting significant advancements in materials science.
Self-driving laboratories (SDLs), by combining automation with machine learning-guided experiment selection, have the potential to transform experimental mateirals science. To date, most SDLs have been optimisation-driven, designed to rapidly converge...
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Jonathan J. S. Scragg (2026) studied this question.
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