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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Теоретические и вычислительные подходы к предсказанию вязкости жидкостей

Успехи физических наук. 2023. Т. 193. № 4. С. 437–461.
Kondratyuk N., Pisarev V.

Predictive models for the shear viscosity of liquids and gases together with the exact equations of state have a great importance for the problems of hydrodynamic modeling of processes occurring in nature, industrial plants and mechanisms. This review aims to consider the currently proposed theoretical, including atomistic modeling, and empirical approaches for predicting the viscosity of liquids, gases and their mixtures in a wide range of thermodynamic conditions. We analyse the viscosity models of homogeneous liquids that are thermodynamically stable. The dynamics of supercooled and glassy liquids, dispersed systems (colloids, emulsions) remains beyond the scope of this review. We discuss the range of applicability of correlation methods for predicting viscosity and the accuracy of various methods at the pressures up to 1 GPa. The application examples of various approaches for hydrocarbons - model oil and gas, fuel and lubrication systems are given. The reported study was funded by RFBR, project number 20-18-50214.

Research target: Physics Computer Science
Language: Russian
DOI
Keywords: теоретические моделижидкостимолекулярное моделированиевязкостьатомистическое моделирование
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