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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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A Review on High-Entropy Alloys Coatings Fabricated by Electrodeposition: The Correlation Between Composition, Properties and Processing Parameters

The Minerals, Metals & Materials Society. 2025. Vol. 77. P. 1005–1028.
Nechvoglod O., Ostovari Moghaddam A., Pratskova S., Trofimova S., Samodurova M., Trofimov E.

This work provides an overview on the fabrication process, composition and properties of high-entropy alloy (HEA) coatings fabricated by electrodeposition. Special attention is paid to the effect of electrodeposition parameters and electrolyte composition on the microstructure, morphology, and mechanical/functional properties of the HEA coatings. It is demonstrated that the majority of researches has been focused on fabricating CoCrFeMnNi- and AlCrFeMnNi-based HEAs, with the addition of a few other elements by galvanostatic and potentiostatic techniques using both direct and pulsed current deposition modes. The fabricated HEA coatings exhibited different microstructures ranging from amorphous to nanocrystalline structures, exhibiting interesting magnetic, catalytic, and mechanical properties. Furthermore, we show that, while the possibility of fabricating metal matrix nanocomposite coatings using electrodeposition has been demonstrated, the fabricated composite coatings are mainly limited to transition element-based HEAs reinforced by graphene oxide and carbon nanotubes. Finally, several new directions and potential challenges such as electrochemical deposition of refractory HEAs and metal matrix composites reinforced by HEAs or high-entropy ceramics, as well as theoretical aspects of electrodeposition of HEAs and introducing machine learning to speed up the fabrication of novel coatings and optimize the processing parameters, are discussed.

Research target: Materials Technologies
Language: English
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Keywords: Mechanical propertiesmicrostructurefunctional propertiesElectrochemical depositionHigh entropy alloysMetal matrix composites
Publication based on the results of:
Advanced materials and technologies (2025)
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