Redox processes and Isocyanides
In the context of green chemistry, we have developed the first electro-induced multicomponent reactions involving isocyanides through a rational approach based on preliminary cyclic voltammetry studies.
Mechanistic studies
We have investigated the mechanisms of various radical and/or organometallic processes, as illustrated below. By combining syntheses, characterizations of intermediates (via electrochemistry and multinuclear NMR), and kinetic studies, we demonstrated the potential of alcohols for activating a precatalyst in a palladium-catalyzed arylic amination reaction.
Machine Learning and Yields Prediction
In collaboration with theorists from UMR 8640, we have investigated the possibility of predicting yields in Csp2-O bond activation reactions catalyzed by nickel salts using machine learning. To achieve this, we assembled a new open-access database, NiCOlit, through manual extraction from the literature. The analysis of this database revealed biases in academic literature data and suggested rules for constructing a dataset that could enhance the predictions of yields in machine learning-assisted reactions.
