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Abstract
Machine learning models, including neural networks, Bayesian optimization, gradient boosting and Gaussian processes, were trained with DFT data for the accurate, affordable and explainable prediction of hydrogen activation barriers in the chemical space surrounding Vaska's complex.
Supplementary materials
Title
Learning Barriers SI ChRx
Description
Actions
Title
Vaskas Space Data
Description
Actions
