Keynote: AI-Driven Automated Experimental Platform for Accelerated Energy Materials Discovery

Tuesday, 16 June 2026

The development of advanced functional materials – particularly for energy storage, catalysis, and electronic applications – is often hindered by slow, manual, trial-and error experimental workflows. As the demand for rapid innovation in material science grows, there is a critical need for self-driven laboratory (SDL) systems that couple artificial intelligence (AI) with highly automated hardware infrastructure. These systems promise to significantly reduce the discovery time of novel materials by integrating closed-loop feedback, autonomous decision-making, and precision-controlled experimentation. 
 
This work introduces a fully integrated, AI-driven automated experimental platform designed to support self-driven materials research. The platform emphasizes reliable high-throughput synthesis, robust characterization, and adaptive decision-making through automated equipment that ensures precision, repeatability, and scalability.