'Self-driving' laboratories leverage AI and robotics to automate complex chemical experiments, vastly improving discoveries in materials science and energy-efficient electronics. This technology harnesses decades of research to revolutionize chemistry.
According to Alán Aspuru-Guzik, lead author of the study, 'At the time we started, in 2017, there were only about ten published organic laser compounds. In the end, we found 21 best-in-class materials.' This shift illustrates the efficiency of AI-driven experimentation.
Jie Xu emphasizes the importance of these advancements: 'Chemical space is just like a universe, but we're only looking at one galaxy. AI can help us to explore regions other than the region that we are comfortable with.'
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