Abstract:Programmable multistep syntheses can be useful tools in molecule discovery and process optimization, and have recently been bolstered by advances in computational chemistry and machine learning applications to molecule design. Current approaches rely on advanced liquid handling and reactor design that can reliably create fractions and aliquots of reagents and products. Here we report on the use of non-aqueous synthesis programming of pharmaceutically relevant molecules using reconfigurable paper comprising an … Show more
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