AI Summary
This article discusses the increasing use of AI-driven chemistry labs to accelerate research in the fields of chemistry and materials science. Researchers are developing new metrics to assess the effectiveness of these self-driving labs and compare their performance. These metrics aim to provide a better understanding of the technology's capabilities and help researchers and future users evaluate the impact of AI-driven labs on scientific discovery.
The fields of chemistry and materials science are seeing a surge of interest in ‘self-driving labs,’ which make use of artificial intelligence and automated systems to expedite research and discovery. Researchers are now proposing a suite of definitions and performance metrics that will allow researchers, non-experts, and future users to better understand both what these new technologies are doing and how each technology is performing in comparison to other self-driving labs.