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May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.
May 7, 2026
Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors
An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.
May 6, 2026
The Future of Cardiogenetics Lies in Artificial Intelligence
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

 

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Математическая модель зависимости динамической вязкости моторных масел от температуры, концентрации сажи и ее морфологии

Тонкие химические технологии. 2023. Т. 19. № 6. С. 485–496.
Лесин А. В., Исаев А. В., Тонконогов Б. П., Дунаев С. В., Kulikov A.

Objectives. A quick cold start of emergency and auxiliary power units based on diesel engines should be possible at any time without
problems and in the shortest possible time. The condition of the engine oil is one of the most important factors influencing the smooth
start-up of power plants. During diesel engine operation, engine oil accumulates soot in its composition, negatively affecting its
rheological properties. The aim of this research is to develop a mathematical model to describe changes in the dynamic viscosity
of motor oils as a function of temperature. This model will account for the concentration of soot and its morphology, based on the results
of experimental studies.
Methods. Standardly used motor oils for diesel engines M-14D2SE and M-5z/14D2SE were used as oil samples in the preparation of model
mixtures. The dispersed phase of the suspensions comprised carbon black of the N110, N220, N330, and N220 grades, characterized
by a dusty (nongranular) texture. The rheological properties of the samples were determined using a TA Instruments DHR-2 rotational
rheometer. The experimental data was subjected to mathematical statistical processing, in order to obtain approximating dependencies.
Results. The paper presents an analysis of the various approaches to the description of the rheology of suspensions and the results
of experimental studies of the viscosity-temperature characteristics (VTCs) of model samples of oils containing soot. The extant models
of the dependence of the dynamic viscosity of suspensions on temperature, volume concentration of the dispersed phase, particle size
and shape are demonstrated to be inadequate for the description of the VTCs of motor oils containing soot. A model of the rheological
properties of soot-oil suspensions is proposed in the form of a mathematical dependence of their dynamic viscosity on temperature, mass
concentration of soot, material density and size of soot particles, characteristics of the shape and structure of primary aggregates and the
ratio of the sizes of aggregates and molecules of the dispersion medium.
Conclusions. It was demonstrated that a comprehensive description of the VTCs of engine oils containing soot necessitates the
consideration of the structural characteristics of the primary aggregates of soot particles. A mathematical model of the VTCs of oils was
developed. This model is based on the dependence of the dynamic viscosity of oils on temperature, mass concentration of soot, density
of the particle material, degree of non-sphericity of aggregates, the ratio of the particle sizes of the dispersed phase (either aggregates
or single particles of non-aggregated soot) and oil molecules, and on the structure of soot, characterized by adsorption of dibutyl phthalate.

Research target: Chemistry Chemical Technologies Materials Technologies
Language: Russian
Full text
DOI
Text on another site
Keywords: математическая модель mathematical modelreologyреологиясажаsootengine oilмоторное масло
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