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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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Identification of montmorillonite particle edge orientations by atomic-force microscopy

Applied Clay Science. 2020. Vol. 186. Article 105442.
Kraevsky S. V., Tournassat C., Vayer M., Warmont F., Grangeon S., Ngouana-Wakou B. F., Kalinichev A. G.

Statistical information on the edge surface area and edge crystallographic orientation of clay nanoparticle surfaces is essential for proper accounting of the protonation-deprotonation reactions as a part of mechanistic surface complexation models. A combination of atomic-force microscopy (AFM) measurements and molecular dynamics computer simulations made it possible to quantify the relative contributions of the most frequently occurring montmorillonite edge surfaces to the total edge surface area. Edge surfaces normal to the [110] and [010] crystallographic directions are found to be the most abundant (~60% and ~20%, respectively), in agreement with previous estimations.

Research target: Earth Sciences Chemical Technologies Chemistry
Priority areas: engineering science
Language: English
DOI
Text on another site
Keywords: молекулярная динамикаatomic force microscopyатомно-силовая микроскопиянаноматериалыnanomaterialsАтомистическое и многомасштабное моделированиеnanoparticlesнаночастицыatomistic simulations molecular dynamics
Publication based on the results of:
Methods for the analysis of the supercomputer efficiency, novel parallel algorithms for molecular dynamics calculations and modeling of transport processes in liquids and biomembranes (2020)
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