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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Digital InGaAs/InAlAs short-period superlattices intended for 1.3-μm InP-lasers

Journal of Luminescence. 2026. Vol. 295. Article 121936.
V.I. Voitovich, I.S. Makhov, Andryushkin V. V., Kopytov P. E., Novikov I. I., Papylev D. S., Sobolev M. S., Pirogov E. V., A.M. Nadtochiy, N.V. Kryzhanovskaya, A.E. Zhukov

We report on a comparative study of the optical and structural properties of short-period superlattices (SPSLs) based on digital ternary InGaAs/InAlAs alloys and their counterparts with quaternary InGaAlAs barriers, both grown on InP substrates and emitting in the 1.3 μm wavelength range. The heterostructures were grown by molecular beam epitaxy and analyzed using photoluminescence spectroscopy in a wide temperature range (5–300 K), time-resolved  hotoluminescence spectroscopy, and high-resolution X-ray diffraction. Both ternary- and quaternary-based SPSLs exhibit intense emission at room temperature with comparable peak wavelengths, integrated photoluminescence intensity, radiative recombination efficiency, and charge carrier dynamics. Structural perfection was found to be comparable in all cases as well. Meanwhile, the ternary alloys based digital SPSLs allow avoiding compositional complexity inherent to quaternary alloys. These findings confirm the potential of ternary-SPSL active regions as an easy-to-fabricate and robust alternative for 1.3 μm vertical-cavity surface-emitting lasers.

Research target: Physics Nanotechnologies
Language: English
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Keywords: сверхрешетки photoluminescenceфотолюминесценцияtime-resolved photoluminescenceвремя-разрешенная фотолюминесценцияSuperlattices
Publication based on the results of:
Study of disk microlasers and photonic integrated circuits for optical switching and sensing elements (2025)
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