Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs
Abstract
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.
Fields of Study & Subjects
Gaussian Processes and Bayesian Inference
Advanced Multi-Objective Optimization Algorithms
Gene Regulatory Network Analysis
Publication details
- Journal / source
- Digital Discovery
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 5
- Issue
- 4
- Pages
- 1900–1912
- Publication date
- 1 January 2026
- Language
- EN