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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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Synergistic Multimetal Effects in a High-Entropy Perovskite Oxide Anchored on Reduced Graphene Oxide for Accelerated Water Oxidation

The Journal of Physical Chemistry Letters. 2026. Vol. 17. No. 13. P. 3978–3985.
Ostovari Moghaddam A., Mehrabi-Kalajahi S., Hossein Vasigh S. A., Bavili H. Y., Shaabani B., Bai X., Qin W., Vagov A., Vasenko A., Bai F., Varfolomeev M.

Water electrolysis is a key technology for sustainable energy conversion and hydrogen generation. Recently, high-entropy oxides (HEOs) have emerged as promising materials because they allow tuning of structural, electronic, and catalytic properties in multifunctional systems. Here, we report the synthesis of a multicomponent La(FeCoCuTiNiMnMgSnZn)O3 perovskite, and its hybridization with reduced graphene oxide (rGO) to form a robust La(FeCoCuTiNiMnMgSnZn)O3–rGO nanocomposite. Structural characterization confirms the formation of a single-phase cubic perovskite structure with a uniform cation distribution and a slight lattice expansion compared with LaTiO3. In addition, HEO nanoparticles are homogeneously dispersed on the rGO sheets. High-resolution XPS analysis also reveals a defect-rich surface with mixed metal valence states, which interact with the conductive carbon network. Electrochemical measurements show that the La(FeCoCuTiNiMnMgSnZn)O3–rGO nanocomposite exhibits superior oxygen evolution reaction (OER) activity. It reaches a current density of 30 mA cm–2 at a lower overpotential and shows a Tafel slope of 81.9 mV dec–1. The catalyst also demonstrates good stability during 8 h of continuous operation. The enhanced performance is attributed to the combined effect of multiple metal elements in the high-entropy lattice, improved charge transport through the rGO network, and the presence of many active sites created by surface defects. These results show that combining HEOs with conductive carbon materials is a useful strategy for developing efficient and durable electrocatalysts for the OER.

Research target: Chemistry
Language: English
Full text
DOI
Keywords: Water oxidationHigh-entropy oxidesReduced graphene oxidePerovskite Oxide
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