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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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Exposure of a coastal city to a landslide tsunami: a case study of Cassis, France

Estonian Journal of Engineering. 2013. Vol. 19. No. 2. P. 124–142.
Averbukh E. L., Dussouillez P., Kharif C., Oshmarina O. E., Kurkin A. A., Rochette P., Soomere T.
The rise of sea level will enhance erosion of cliffs that will be in the reach of storm waves in the distant future. We analyse the possible consequences of erosion-driven collapse of the cliff of Cap Canaille, located approximately 20 km from Marseille, France. A resulting fall of large amount of rocks (several millions m3) into the sea (or a subaerial landslide of an equal volume) may generate a local tsunami that will endanger the adjacent seaside resort Cassis. The propagation of waves, created by this hypothetic event, is simulated using the fully non-linear Boussinesq wave model FUNWAVE. The maximum elevation in Cassis may reach 3.6 m and it only weakly depends on the particular scenario of the collapse. The largest source of danger is the short arrival time (3–3.5 min) of the first wave that is also the highest one. This requires implementation of nontraditional means for building resilience of the local coastal community with respect to such events. 
Research target: Mathematics Physics
Priority areas: IT and mathematics mathematics
Language: English
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Keywords: защита от цунамиlandslide tsunamitsunami modellingBoussinesq equationsCassisCap Canailletsunami resilienceоползневые цунамимоделирование цунамиуравнения БуссинескаКассисмыс Канальи
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