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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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Boosting the generality of catalytic systems by the synergetic ligand effect in Pd-catalyzed C-N cross-coupling

Journal of Catalysis. 2024. Vol. 429. Article 115240.
Grebennikov N., Boiko D., Prima D., Madiyeva M., Minyaev M. E., Ananikov V.

In the areas of catalysis and organic chemistry, the development of versatile and efficient catalytic systems has long been a challenge, primarily due to the intricate relationship between ligands and transition metal centers. This study addresses this challenge by exploring the concept of ligand synergy to enhance the generality of catalytic systems, a crucial metric for their practical utility. By combining N-heterocyclic carbene (NHC) and phosphine ligands, we unveil a novel catalytic system that exhibits high level of generality in the Buchwald-Hartwig cross-coupling reaction. Our findings not only demonstrate the enhanced efficiency of this system, leading to the synthesis of valuable compounds with applications in organic electroluminescent devices and the pharmaceutical industry, but also shed light on the broader potential of ligand synergy in catalysis. Through machine learning analysis, we uncover the critical role of specific ligand properties, further paving the way for rational catalyst design.

Research target: Chemistry
Language: English
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Keywords: synergetic effectsPALLADIUM CATALYSTMachine LearningN-heterocyclic carbeneBuchwald-Hartwig reactionFluorine-substituted amines
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