A frugal, Bayesian-optimization-driven laboratory converges on target LCSTs of PNIPAM salt solutions (26.08, 24.93, 26.83, 25.04 °C vs targets 26, 25, 27, 25 °C) within 2-3 closed-loop rounds.
Controlling an or- ganic synthesis robot with machine learning to search for new reactivity .Nature, 559(7714):377–381, 2018
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Self-Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers
A frugal, Bayesian-optimization-driven laboratory converges on target LCSTs of PNIPAM salt solutions (26.08, 24.93, 26.83, 25.04 °C vs targets 26, 25, 27, 25 °C) within 2-3 closed-loop rounds.