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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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К вопросу о возможности радикального повышения теплопроводности сред введением дисперсных частиц (обзор)

Журнал прикладной химии. 2020. Т. 93. № 12. С. 1696–1715.
Макарова В. В., Горбачева С. Н., Антонов С.В., Ильин С. О.

Theoretical and experimental data on the eff ect of additions of micro- and nanosized solid particles on the thermal conductivity of liquid media (nanofl uids) are considered. According to theoretical calculations, a manifold increase in the thermal conductivity is possible only for resting media in which percolation structures are formed from the modifi er nanoparticles, whereas in the case of the coolant circulation and/or random distribution of particles in its volume the increase in the thermal conductivity cannot increase several tens of percents. The primary factors for increasing the thermal conductivity are high volume fraction of particles and isotropicity of their properties, whereas the specific thermal conductivity of the particle material is not a key factor. The available experimental data were obtained using diff erent measurement methods and diff erent dispersions whose structure was not duly controlled. Therefore, the data are characterized by large scatter, which does not allow unambiguous identifi cation of the acting averaging law, although the majority of data are characterized by positive deviation from Maxwell’s law. On the other hand, the available data do not exceed the values expected on the basis of the rule of logarithmic additivity of the component thermal conductivities.

Research target: Chemistry Materials Technologies
Language: Russian
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Keywords: моделированиеmodelingthermal conductivityтеплопроводностьDisperse systemssuspensionsдисперсные системысуспензии
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