Interpretation of impedance spectroscopy data requires both a description of the chemistry
and physics that govern the system and an assessment of the error structure of the …

This work provides a data-oriented overview of the rapidly growing research field covering
machine learning (ML) applied to predicting electrochemical corrosion. Our main aim was to …

We propose strategies that couple natural language processing with deep learning to
enhance machine capability for corrosion-resistant alloy design. First, accuracy of machine …

In this work, we studied the effect of Cr element on the corrosion resistance evolution of
weathering steel based on corrosion big data technology. It suggested that corrosion big …

The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …

This paper provides an overview on the research progress of self-reporting corrosion
protection coatings, which can autonomously indicate coating damages and metal corrosion …

Partially due to the unavailability of ideal bone substitutes, the treatment of large bony
defects remains one of the most important challenges of orthopedic surgery. Additively …

Organic coatings are one of the most used and versatile technologies to mitigate corrosion
of metals. However, organic coatings are susceptible to defects and damages that may not …

Combining a fast self-healing action and a high barrier property remains a challenge in
polymeric protective coatings. Herein, we report an intrinsic self-healing epoxy coating in …

In this work, the atmospheric corrosion of carbon steels was monitored at six different sites
(and hence, atmospheric conditions) using Fe/Cu-type atmospheric corrosion monitoring …