Autonomous Laboratory for Bespoke Synthesis of Nanoparticles
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초록
내용
The demand for bespoke synthesis of nanoparticles (NPs) has significantly increased various applications due to their tunable properties depending on the synthesis process conditions. And, an autonomous laboratory based on AI and robotics has been rapidly employed for the time-consuming and labor-intensive NP synthesis. In this talk, we will introduce our homemade autonomous laboratory for the bespoke synthesis of commercial Ag NPs, focusing on optical properties. Bayesian optimization with an early stopping process greatly improves the efficiency for the bespoke synthesis, in which five experimental variables are considered. Also, the data analysis and visualization help us to understand the AI-based synthetic route without human intuition. Furthermore, we can readily discover a new chemical knowledge regarding the synthesis of Ag NPs. This study shows that autonomous laboratories can accelerate materials discovery and readily help to find new knowledge.