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September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
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.’

 

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The effect of finite element type on the results of superplastic forming simulation

Procedia Manufacturing. 2019. Vol. 37. P. 85–90.
Zakhariev I.

Superplastic Forming is an industrial process to produce thin-walled products of complex shape. At the same time this process allows one to obtain the products with close to uniform thickness distribution. The process exploits the abilities of some polycrystalline materials to large elongations before failure. The best formability can be achieved only under very specific conditions of temperature and strain rate. In order to calculate the pressure regime to sustain target strain rate in critical arias it is necessary to use finite element simulation. The pressure regime calculation lasts for a day’s especially while 3 dimensional elements are use. To reduce the time of calculation it is possible to use elements from membrane theory. The main idea of this approach is to use planar elements instead of tetrahedronal for 3D tasks or 2 nodes elements instead of triangular ones for axisymmetric tasks. This reduction doesn’t take in account share stress accruing into material. The main aim of this paper is to study the effect of elements type on the accuracy of thickness distribution prognosis.

Research target: Physics Engineering and Technology Mechanics and Mechanical Engineering Materials Technologies Computer Science
Priority areas: IT and mathematics engineering science
Language: English
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Keywords: имитационное моделированиеFEMметод конечных элементов (МКЭ)titanium alloy титановые сплавыSuperplastic formingComputer simulationСверхпластическая формовкаThickness distributionраспределение толщины
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