Sustainable aqueous metal-air batteries: An insight into electrolyte system
To meet the growing demand for sustainable and endurable energy sources, various novel
energy conversion and storage systems have emerged and been developed rapidly over …
energy conversion and storage systems have emerged and been developed rapidly over …
[HTML][HTML] Selecting medium for corrosion testing of bioabsorbable magnesium and other metals–a critical review
Corrosion testing of bioabsorbable metallic materials is important at material selection stage
and for understanding their degradation mechanisms. A large variety of different corrosive …
and for understanding their degradation mechanisms. A large variety of different corrosive …
[HTML][HTML] Molecular modeling of organic corrosion inhibitors: Calculations, pitfalls, and conceptualization of molecule–surface bonding
A Kokalj - Corrosion Science, 2021 - Elsevier
Molecular modeling of corrosion inhibitors has gained momentum in the last decade. This
paper describes various approaches, starting with the so-called MEPTIC (Molecular …
paper describes various approaches, starting with the so-called MEPTIC (Molecular …
High-energy and durable aqueous magnesium batteries: Recent advances and perspectives
Aqueous Mg batteries are promising energy storage and conversion systems to cope with
the increasing demand for green, renewable and sustainable energy. Realization of high …
the increasing demand for green, renewable and sustainable energy. Realization of high …
[HTML][HTML] Simplistic correlations between molecular electronic properties and inhibition efficiencies: Do they really exist?
The often used simplistic correlations between molecular electronic parameters and
experimentally determined corrosion inhibition efficiencies are critically evaluated for a set of …
experimentally determined corrosion inhibition efficiencies are critically evaluated for a set of …
Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution
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 …
high throughput tool to collect corrosion activity from randomly probed locations on 316 L …
On the alleged importance of the molecular electron-donating ability and the HOMO–LUMO gap in corrosion inhibition studies
A Kokalj - Corrosion Science, 2021 - Elsevier
Many studies utilize the hypothesis that inhibition efficiency increases with increasing
electron-donating ability (ΔN) if ΔN< 3.6. This co-called “ΔN< 3.6” rule is critically …
electron-donating ability (ΔN) if ΔN< 3.6. This co-called “ΔN< 3.6” rule is critically …
Machine learning property prediction for organic photovoltaic devices
Organic photovoltaic (OPV) materials are promising candidates for cheap, printable solar
cells. However, there are a very large number of potential donors and acceptors, making …
cells. However, there are a very large number of potential donors and acceptors, making …
Estimating pitting descriptors of 316 L stainless steel by machine learning and statistical analysis
A hybrid rule-based/ML approach using linear regression and artificial neural networks
(ANNs) determined pitting corrosion descriptors from high-throughput data obtained with …
(ANNs) determined pitting corrosion descriptors from high-throughput data obtained with …
Chromate-free corrosion protection strategies for magnesium alloys—a review: part III—corrosion inhibitors and combining them with other protection strategies
Owing to the unique active corrosion protection characteristic of hexavalent chromium-
based systems, they have been projected to be highly effective solutions against the …
based systems, they have been projected to be highly effective solutions against the …