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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
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Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
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A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Elastic single-walled carbon nanotubes pixel matrix electrodes for flexible optoelectronics

Applied Physics Letters. 2022. No. 121. Article 243504.
Mukhangali S., Neplokh V., Kochetkov F., Vorobyev A., Mitin D., Mukhin M., Krasnikov D. K., Tian J., Islamova R., Nasibulin A. G., Mukhin I.

This paper demonstrates an elastic (i.e., both flexible and stretchable) pixel matrix based on the patterned films of single-walled carbon nanotubes, which were obtained using optical lithography and plasma etching. The proposed elastic electrodes maintain their initial resistivity at 10% stretching. We also demonstrate an application of the elastic pixel matrix to an array of III–V semiconductor nanowires encapsulated into the elastic polymer matrix, which paves the way for highly deformable inorganic light-emitting or photodetector devices.

This work was funded by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program “Priority 2030” (Agreement No. 075-15-2021-1333). The SWCNT synthesis was supported by the Russian Science Foundation (Grant No. 22-13-00436). Membrane fabrication was funded by St. Petersburg State University (Project No. 94385659). V.N. thanks the Russian Foundation for Basic Research (RFBR Project No. 19-32-60040) for PDMS/MW membrane fabrication.

The authors thank Dr. Vladimir Fedorov for n-GaP NWs sample synthesis.

Research target: Physics
Language: English
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Keywords: polymerssemiconductor nanostructuresoptoelectronicsNanotubeselectrodesPhotolithographyInorganic compounds
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