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Prediction of reaction yields using machine learning (ML) can help chemists select high‐yielding reactions and provide prior experience before wet‐lab experimenting to improve efficiency. However, the exploration of a multicomponent organic reaction features many complex variables and limited number of experimental data, which are challenging for the application of ML. Herein, we perform yield prediction...
Herein, we describe a novel catalytic Pictet‐Spengler‐type cyclization using CO2 as a nontoxic and sustainable C1 feedstock with environmentally benign and non‐precious‐metal iron as catalyst. The reaction is achieved by selective four‐electron reduction of CO2 into methylene level intermediate through carefully tuning the reaction parameters. A variety of tetrahydro‐β‐carbolines and other nitrogen‐containing...
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