Abstract
This postdoctoral project aims to develop an autonomous in situ hydrogen peroxide (H2O2) production system, using advanced machine learning (ML) techniques. The proposed approach focuses on the optimization of carbon-based cathodic catalysts through artificial neural networks, incorporating information related to the morphological and physicochemical characteristics of the catalyst, synth…