Many more programs were created in the 1970s and 1980s but the enthusiasm of these pioneering days had largely dissipated by the 2000s, and the challenge of teaching the computer how to plan organic syntheses earned itself the reputation of a “mission impossible”. 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Synthesis: One-Pot Preparation of trans β-Lactams and Application to Cholesterol Absorption Inhibitor SCH 47949 Synthesis, A robotic platform for flow synthesis of organic compounds informed by AI planning, Identification of strategic molecules for future circular supply chains using large reaction networks, Tracking the rearrangement of atomic configurations during the conversion of FAU zeolite to CHA zeolite, Looking beyond the hype: Applied AI and machine learning in translational medicine, Computational design of syntheses leading to compound libraries or isotopically labelled targets, Integration of machine learning approaches for accelerated discovery of transition-metal dichalcogenides as Hg0 sensing materials, Automatic mapping of atoms across both simple and complex chemical reactions, Toward Design of Novel Materials for Organic Electronics, Deep Learning Accelerated Gold Nanocluster Synthesis, Automated De Novo Drug Design: Are We Nearly There Yet?, High Throughput 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Meaningful Descriptors, Propagation of Oscillating Chemical Signals through Reaction Networks, SCScore: Synthetic Complexity Learned from a Reaction Corpus,
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