An In Silico Tool for Rapid and Accessible Training in Self-Driving Laboratory Development

Abstract

Self-driving laboratories (SDLs) integrate robotic experimentation and machine learning to autonomously navigate complex chemical and materials search spaces-but their development demands simultaneous mastery of experimental parameterisation, automated measurement, and optimisation...