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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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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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