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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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Iodine adsorption on Ni(111): STM and DFT study

Surface Science. 2016. Vol. 651. P. 112–119.
Андрюшечкин Б. В., Павлова Т. В.

Iodine adsorption on the Ni(111) surface has been studied in ultra-high vacuum conditions with scanning tunneling microscopy (STM), Auger electron spectroscopy (AES), low-energy electron diffraction (LEED) and density functional theory (DFT) calculations. At the first stage of adsorption, iodine was found to form a simple commensurate (root 3 x root 3) R30 degrees structure at the coverage of 0.33 ML. According to DFT calculations, all iodine atoms in the (root 3 x root 3) R30 degrees structure occupy fcc hollow sites. Increase of the coverage in the range of (0.333 ML < theta < 0.364 ML) results in the uniaxial compression of the iodine lattice and the formation of the high-order commensurate structure (11 x root 3R30 degrees). The mechanism of compression involves the formation and the development of the striped super-heavy domain wall network. Further iodine dosing gives rise to nucleation and growth of flat 2D islands of surface nickel iodide. Atomic resolution STM images of iodide islands, in addition to atomic modulation, exhibit clear visible moire-like superstructures with a period about 26 angstrom. The origin of the moire-patterns was explained by the incommensurability of lattices of the surface nickel iodide and underlying Ni(111). (C) 2016 Elsevier B.V. All rights reserved.

Research target: Physics Chemistry
Language: English
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Keywords: Ni(111)LEEDTOTAL-ENERGY CALCULATIONSSURFACE PHASESIODINESCANNING-TUNNELING-MICROSCOPY
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