Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs
Luca Torresi, Pascal Friederich · Digital Discovery · 2026
A structure-aware, resumable framework enables dynamic pausing of multi-stage experiments via intermediate measurements. MSBO identifies optimal solutions more efficiently than traditional Bayesian optimisation via data-driven resource allocation.