Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization

SeMOpt uses meta-/few-shot learning to enable knowledge transfer from previous experiments to accelerate Bayesian optimization of chemical reactions.