Open access
Aug 2026
Multi-task scheduling of self-driving laboratories under scientific constraints
This paradigm establishes a practical scheduling framework for concurrent multitasking in SDLs, ensuring the experimental consistency required to generate the high-fidelity datasets foundational to autonomous, AI-driven scientific discovery.
Junyi Zhou, Lu-Yao Ge, Xiaobo Li et al.
· Chemical Science · 1 citation