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October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Electric Double Layer: From Classical Stern-like Models to Advanced Continuum Theories

Current Opinion in Electrochemistry. 2026. Vol. 57. Article 101853.
Doronin S., Yury A. Budkov

The electric double layer (EDL) governs charge distribution at electrode–electrolyte interfaces, controlling reaction kinetics and energy storage performance. This mini review surveys the evolution of EDL theory—from the classical Gouy-Chapman-Stern framework to modern coupled quantum-continuum schemes that integrate electronic structure with statistical mechanics. We show how modified Poisson–Boltzmann (mPB) formu-lations incorporating finite ion size, dielectric saturation, and ion polarizability extend continuum predic-tive power. Classical density functional theory (cDFT) emerges as the most rigorous continuum route, capturing structural layering, ion correlations, and specific adsorption without artificial layer splitting. Atomistic approaches (MD, AIMD, machine learning interatomic potentials) deliver molecular insight with ab initio accuracy across extended scales. We discuss key experimental benchmarks (differential capacitance, X-ray and vibrational spectroscopy) and identify promising directions: hybrid quantum + mPB/cDFT schemes capturing electronic spillover and partial charge transfer, advanced force fields, and open capacitance databases. These advances point toward a unified multiscale framework for predictive modelling of electrochemical interfaces.

Research target: Chemistry Physics Electronics and Electrical Engineering
Language: English
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Keywords: двойной электрический слойElectric double layerмодифицированное уравнение Пуассона-БольцманаModified Poisson-Boltzmann equationClassical density functional theoryТеория классического функционала плотностиквантовая молекулярная динамикаAb initio molecular dynamics
Publication based on the results of:
Прогнозирование свойств молекулярных систем: совмещение методов машинного обучения и классических методов моделирования (2026)
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