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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Three-Dimensional Magnonics: Layered, Micro- and Nanostructures

Singapore : Jenny Stanford Publishing, 2019.
Under the general editorship: G. Gubbiotti

Magnonics, a research field that uses spin waves, collective excitations of ordered magnetic materials, or magnons (their quanta) as a tool for signal processing, communication, and computation, has rapidly grown during the past decade because of the low-energy consumption and potential compatibility with next-generation circuits beyond CMOS electronics. The interest in 3D magnonic nanostructures follows the latest trend in conventional electronics based on expansion from 2D planar to 3D vertically integrated structures. To remain on the same technological level, a similar expansion should be realized in magnonics.

Following this trend, this book provides an overview of recent developments in the exploitation of the third dimension in magnonics, with special focus on the propagation of spin waves in layered magnonic crystals, spin textures, curved surfaces, 3D nano-objects, and cavity magnonics. The book is unique in that it addresses, as an alternative to physical patterning, hybrid heterostructures in the form of bilayer systems (metal–insulator, metal-heavy metal, metal–antiferromagnet, and metal–ferroelectric), where new properties of spin waves emerge from interactions between the continuous magnetic film, where spin waves propagate, and the nonmagnetic component, which induces periodic modulation of either the static or the dynamic internal magnetic field of the magnetic film itself. The book comprises 11 chapters written by outstanding international research groups in the field of magnonics and will appeal to anyone involved in magnonics, spintronics, nanotechnology, microwave applications, and nanomagnetism.

Chapters
3D Magnonic Crystals
Beginin E. N., Kalyabin D., Popov P. A. et al., , in: Three-Dimensional Magnonics: Layered, Micro- and Nanostructures.: Singapore: Jenny Stanford Publishing, 2019. Ch. 3 P. 67–104.
Magnonics, a research field that uses spin waves, collective excitations of ordered magnetic materials, or magnons (their quanta) as a tool for signal processing, communication, and computation, has rapidly grown during the past decade because of the low-energy consumption and potential compatibility with next-generation circuits beyond CMOS electronics. The interest in 3D magnonic nanostructures follows the ...
Added: October 26, 2021
Research target: Electronics and Electrical Engineering
Language: English
Full text
Text on another site
Keywords: наноструктурыmagnetostatic spin wavesспиновые волныnanostructuresмагноникаmagnonics
Three-Dimensional Magnonics: Layered, Micro- and Nanostructures
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