Optimized Materials in a Flash
ArticleAI
Key Takeaways
Researchers developed AutoBot, an automated, AI-driven laboratory that accelerates optimization of materials synthesis.
In just a few weeks, AutoBot pinpointed the best combinations of synthesis parameters for materials called metal halide perovskites. This process would have taken up to a year with traditional, manual experimentation.
AutoBot’s iterative learning approach can be expanded to enable cost-effective, industrial-scale manufacturing for a wide range of optical...
Read more at newscenter.lbl.gov