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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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Composite Cathodes Based on Lithium-Iron Phosphate and N-Doped Carbon Materials

Batteries. 2022. Vol. 8. No. 12. Article 256.
Irina Stenina, Safikanov D., Minakova Polina, Novikova Svetlana A., Tatiana Kulova, Yaroslavtsev A. B.

The effect of different nitrogen-doped carbon additives (carbon coating from polyaniline,
N-doped carbon nanotubes, and N-doped carbon nanoparticles) on electrochemical performance
of nanocomposites based on the olivine-type LiFePO4 was investigated. Prepared materials were
characterized by XRD, SEM, TGA-MS, CHNS-analysis, IR-, Raman, and impedance spectroscopies.
Polyaniline deposition on the LiFePO4 precursor with following annealing lead to the formation of
a LiFePO4/C nanocomposite with a carbon coating doped with nitrogen. Due to nitrogen atoms
presence in carbon coating, the LiFePO4/N-doped carbon nanocomposites showed enhanced conductivity
and C-rate capability. The discharge capacities of the synthesized materials in LIBs were
close to the theoretical value at 0.1 C and retained high values with increasing current density. At
high C-rates, the best results were obtained for a more dispersed LiFePO4/C composite with carbon
coating prepared from polyaniline previously in situ deposited on LiFePO4 precursor particles. Its
discharge capacity reached 96, 84, 73, and 47 mAh g􀀀1 at 5, 10, 20, and 60 C-rates, respectively.

Research target: Chemistry Nanotechnologies
Language: English
Full text
DOI
Text on another site
Keywords: cathodeCNTSpolyanilineLiFePO4Carbon coatingNitrogen-doped carbon nanomaterialslithium ion battery
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