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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Polystyrene-Based Single-Ion Conducting Polymer Electrolyte for Lithium Metal Batteries

Processes. 2022. Vol. 10. No. 12. Article 2509.
Voropaeva D., Svetlana Novikova, Trofimenko N., Andrey Yaroslavtsev

Lithium metal batteries are one of the more promising replacements for lithium-ion batteries
owing to their ability to reach high energy densities. The main problem limiting their commercial
application is the formation of dendrites, which significantly reduces their durability and renders
the batteries unsafe. In the present work, we used a single-ion conducting gel polymer electrolyte
based on a poly(ethylene-ran-butylene)-block-polystyrene (SEBS) block copolymer, which was functionalized
with benzenesulfonylimide anions and plasticized by a mixture of ethylene carbonate
and dimethylacetamide (SSEBS-Ph-EC-DMA), with a solvent uptake of 160% (~12 solvent molecules
per one functional group of the membrane). The SSEBS-Ph-EC-DMA electrolyte exhibits an ionic
conductivity of 0.6 mSmcm􀀀1 at 25 C and appears to be a cationic conductor (TLi+ = 0.72). SSEBSPh-
EC-DMA is electrochemically stable up to 4.1 V. Symmetrical Li|Li cells; further, with regard to
SSEBS-Ph-EC-DMA membrane electrolytes, it showed a good performance (~0.10 V at first cycles
and <0.23 V after 700 h of cycling at 0.1 mAcm􀀀2 and 0.05 mAhcm􀀀2). The LiFePO4|SSEBSPh-
EC-DMA|Li battery showed discharge capacity values of 100 mAhg􀀀1 and a 100% Coulomb
efficiency, at a cycling rate of 0.1C.

Research target: Chemistry Materials Technologies
Language: English
Full text
DOI
Text on another site
Keywords: LiFePO4Polymer electrolyteSingle-ion conductor polymer electrolyteionic conductivityLithium metal battery
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