Oil and gas pipelines are under great threat of corrosion due to the harsh service
environment. It is critical to predict corrosion for the safe service of pipelines. Classical …

Corrosion presents a daunting challenge to the oil and gas industry, resulting in substantial
maintenance expenses and productivity losses. Conventional corrosion monitoring …

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

Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

Corrosion rate (ie, corrosion current density), a crucial kinetic parameter for predicting and
modeling service-life performance of reinforced concrete structures, can be estimated using …

This investigation proposes using Scanning Electrochemical Cell Microscopy (SECCM) as a
high throughput tool to collect corrosion activity from randomly probed locations on 316 L …

The nanostructuration of an electrochemical interface dictates its micro‐and macroscopic
behavior. It is generally highly complex and often evolves under operating conditions …

In this work, Doxorubicin drug was used as mild steel corrosion inhibitor in 0.5 MH 2 SO 4
solution. Herein, standard techniques like gravimetric, electrochemical measurement …

In this study, machine learning algorithm was used to model measurements of corrosion
rates of stainless steel Type 904 in 0.5 MH 2 SO 4 media as a function of exposure time, and …

To forecast safety and security measures, it is vital to evaluate the integrity of a pipeline used
to carry oil and gas that has been subjected to corrosion. Corrosion is unavoidable, yet …