The article discusses a groundbreaking automated workflow developed by Lawrence Berkeley National Laboratory scientists for accelerating chemistry discoveries. This workflow applies statistical analysis to nuclear magnetic resonance (NMR) spectroscopy data, facilitating real-time analysis of chemical reaction products. It’s particularly significant for drug discovery and the development of new chemical reactions, including the identification of isomers. The new technique, which is faster and potentially as accurate as conventional methods, could revolutionize synthetic chemistry processes and is made available as open-source for widespread use. For more details, you can read the full article here:
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