Abstract
We propose in this research project the development of statistical models for predicting reactivity in organic reactions catalyzed by transition metals using consolidated strategies of correlation between the catalyst structure with its catalytic activity and also using models based on machine learning. We intend to explore molybdenum catalyzed olefin metathesis reactions aiming to develo…