A novel approach to the role of iridium and titanium oxide in deactivation mechanisms of a Ti/(36 RuO2-x IrO2-(64-x) TiO2) coating in sodium chloride solution

Preparation of Ti/SnO2–Sb–Ir–Mn Electrodes with Low Iridium Content for a Highly Efficient and Stable Oxygen Evolution Reaction

“…Moreover, R f starts to increase at 60 h, which proves the passivation inclination of the Ti substrate due to infusion of the electrolyte. In former studies, , n dl represents the roughness of the surface. A value close to 1 indicates a smooth surface of the sample, while a low n dl represents the pitting corrosion and exfoliation of the coating. ,− n dl decreased obviously from 0.994 to 0.56 for the inactive sample, indicating a probable exfoliation process during the electrolysis.…”

“…In former studies, , n dl represents the roughness of the surface. A value close to 1 indicates a smooth surface of the sample, while a low n dl represents the pitting corrosion and exfoliation of the coating. ,− n dl decreased obviously from 0.994 to 0.56 for the inactive sample, indicating a probable exfoliation process during the electrolysis.…”

Making the black-box brighter: Interpreting machine learning algorithm for forecasting drilling accidents

“…AI is usually represented by machine learning (ML) and deep learning (DL) models, adopted and trained for the particular problem, that provide quantitative solutions. In the oil and gas industry, namely, in the upstream section, AI is used for such problems as a prediction of different reservoir properties (Erofeev et al, 2019) and logs (Rostamian et al, 2022),well placement optimization (Rostamian et al, 2019b,a;Rostamian, 2017), lithology classification (Klyuchnikov et al, 2019), modeling during hydraulic fracturing (Makhotin et al, 2019), forecasting of material properties and cracks in the drill strings (Sobhaniaragh et al, 2021(Sobhaniaragh et al, , 2020Mirseyed et al, 2022;Afzalimir et al, 2020), others.…”