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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
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.

 

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Smart Modelling for Engineering Systems. Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 215)

Singapore : Springer, 2021.
Under the general editorship: F. Margarita N., F. Alena V., P. Igor B., J. Lakhmi C.

This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.

Chapters
A Systematic Approach to Present “Files and File Systems” in Theoretical Courses of Computer Science.
Karpov V. E., , in: Smart Modelling for Engineering Systems. Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 215).: Singapore: Springer, 2021.
The chapter considers a systematic approach to present “Files and file systems” in theoretical courses. The approach is based on different levels of abstraction for the concept introduced. We consider abstract files as mathematical objects, logical files as an implementation of abstract files in programming, and physical files as a mapping of logical files to ...
Added: June 18, 2021
Research target: Mathematics Physics Computer Science
Priority areas: IT and mathematics engineering science
Language: English
DOI
Keywords: numerical modelingmachine learningartificial intelligence Engineering SystemsContinuum MechanicsSmart ModelingCMCM 2020
Smart Modelling for Engineering Systems. Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 215)
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Temperature-driven structural crossover of vortex matter in a Penrose quasicrystal
Томаева М. А., Неверов В. Д., Shanenko A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 114 P. 1–6
We report a thermally driven structural crossover of vortex matter in a two-dimensional superconducting Penrose quasicrystal. At low temperatures, vortices are pinned by the quasiperiodic lattice, forming an aperiodic pattern. With increasing temperature, vortex-vortex interactions dominate, leading to a conventional triangular Abrikosov lattice. Our findings reveal a tunable interplay between intrinsic pinning and vortex interactions, ...
Added: September 5, 2026
Scalable machine learning approach to disordered s-wave superconductors
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We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Problem solving in philosophy. How to Do Philosophy in the Age of Ultra-Intelligent AI
Vervoort L., Springer, 2026.
This open access book provides a method for philosophical problem solving, offering philosophers the tools to stay ahead of machine intelligence. Louis Vervoort argues that, with ultra-intelligent AI knocking at the door, philosophy can no longer rely solely on its ancient methodological toolkit. The proposed method is essentially the same as used in natural science, ...
Added: September 5, 2026
On the rate of Gaussian approximation for online linear regression problems
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In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...
Added: September 4, 2026
Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337, 17-21 August 2026, KIT, Amsterdam, the Netherlands
Proceedings of Machine Learning Research , 2026.
Added: September 4, 2026
Моделирование влияния тонкой диэлектрической пленки, существующей на части поверхности катода, на переход тлеющего газового разряда в дуговой разряд
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Сформулирована модель катодного слоя тлеющего газового разряда при наличии на части рабочей поверхности катода тонкой диэлектрической пленки. Показано, что переход тлеющего разряда в дуговой разряд, сопровождающийся значительным увеличением плотности разрядного тока и уменьшением катодного падения напряжения, происходит наиболее быстро, если пленка занимает примерно половину поверхности катода. ...
Added: September 4, 2026
Относительные аналитические законы взаимности
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Added: September 3, 2026
Stress tensor of inhomogeneous flexible polymer chain solutions beyond the ground-state dominance approximation
Budkov Y., Journal of Chemical Physics 2026 Vol. 165 No. 9 Article 094902
We derive the stress tensor of a flexible polymer solution within the Gaussian-chain self-consistent field theory (SCFT) without invoking the ground-state dominance (GSD) approximation. Starting from a covariant formulation of the single-chain partition function in a background metric, we obtain the symmetric stress tensor expressed through the full Edwards propagators. The result contains the local ...
Added: September 2, 2026
A unified frequency-domain framework for tilted slice localization and ischemic stroke detection
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Added: September 2, 2026
Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC)
IEEE, 2026.
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Added: September 2, 2026
Metastability of lipid vesicle shapes in uniaxial extensional flow
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Added: September 1, 2026
Orbifold Saito theory of A and D type singularities
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Added: September 1, 2026
Non-axiomatizability of modal predicate logics of Dedekind-complete linear orders with constant domains
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Added: August 26, 2026
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Added: August 21, 2026
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Added: July 27, 2026
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Added: June 23, 2026
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Added: June 23, 2026
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Added: May 21, 2026
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Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
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Added: May 19, 2026
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All-inorganic perovskite CsPbBr3 and Cs4PbBr6 nanoparticles are being intensively studied due to their unique properties and wide range of applications; however, however, the nature of their optical properties is not yet fully understood due to the difficulty of synthesis of singlephase nanoparticles. In this article we describe the features of the synthesis of single-phase particles ...
Added: May 14, 2026
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Added: April 28, 2026
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