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The automation of chemical synthesis dates back to at least the 1960's, and is seeing rapid development today. Advances in machine learning point to a future where functional chemicals could be designed, made and tested in automated systems, where the results of experiments feed into the design of subsequent experiments.
This webinar will introduce progress and challenges in modern chemistry automation, including emerging technologies to enable reaction miniaturization, as well as highlights of our research at the interface of data science and chemical synthesis.
You’ll learn:
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