The targeted removal of efficient but toxic corrosion inhibitors based on hexavalent
chromium has provided an impetus for discovery of new, more benign organic compounds …

Nanozymes are advanced nanomaterials which mimic natural enzymes by exhibiting
enzyme-like properties. As nanozymes offer better structural stability over their respective …

A high-throughput screening method is developed for rapid evaluation of corrosion
inhibitors. By employing a fluorometric technique, this method quickly assesses the …

The degradation behaviour of magnesium and its alloys can be tuned by small organic
molecules. However, an automatic identification of effective organic additives within the vast …

Machine learning (ML) is providing a new design paradigm for many areas of technology,
including corrosion inhibition. However, ML models require relatively large and diverse …

The machine learning framework reported herein can greatly accelerate the development of
more effective and sustainable corrosion inhibitors for aluminum alloys, which still rely …

Aqueous primary Mg–air batteries have considerable potential as energy sources for sea
applications and portable devices. However, some challenges at the anode-electrolyte …

This paper reviews the application of machine learning to the inhibition of corrosion by
organic molecules. The methodologies considered include quantitative structure‐property …

The large amount of corrosion inhibition efficiencies in literature, calls for a more efficient
way to organize, access and compare this information. The CORDATA open data …

Nanozymes are the nanomaterials possessing unique catalytic responses resembling with
natural enzymes. They are highly emphasized because of their catalytic stability, activity …