Machine learning-based time-series forecasting prevents electrode corrosion in organic electrochemistry

Digital Discovery 2026 Open access

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Authors: Josef Tausendschön, Michael Poelzl, Nikola Petrović, Jason Williams, Elisabeth Fink

DOI: 10.1039/d5dd00458f

Cited by: 3

References: 48

Abstract

Real-time sensing and machine learning unite to monitor electrode corrosion and predict reaction dynamics in electrochemical synthesis.

Machine Learning in Materials Science CO2 Reduction Techniques and Catalysts Electrochemical Analysis and Applications

References 48