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  • Порометрия наноразмерных пленок рентгеновским методом
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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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Порометрия наноразмерных пленок рентгеновским методом

С. 211–211.
Novoselova E., Smirnov I. S., Monakhov I., Касьянов О. М.
The report presents the results of x-ray porosimetry of nanoscale films of polymethylphenylsiloxane.
Language: Russian
Full text
Keywords: наноразмерные пленкиporosimetrynanoscale filmsпорометрия

In book

Тезисы докладов Всероссийского совещания по использованию рассеяния нейтронов и синхротронного излучения в конденсированных средах (РНСИ-КС-2014)
СПб.: ФГБУ "ПИЯФ" НИЦ "Курчатовский институт", 2014.
Similar publications
Технология формирования и диагностика параметров растущих наноразмерных пленок
Smirnov I. S., Novoselova E., В кн.: Функциональные наноматериалы для космической техники. Труды 2-й Всероссийской школы-семинара студентов, аспирантов и молодых ученых.: М.: МИЭМ, 2011. С. 31–38.
The problems of determining the parameters of nanoscale films in real time of their formation by in-situ X-ray reflectivity were observed ...
Added: February 20, 2014
Применение метода in-situ рентгеновской рефлектометрии для определения параметров наноразмерных пленок кремния
Novoselova E., Smirnov I. S., Yegorov A. A. et al., В кн.: IX Международная конференция и VIII Школа молодых ученых «Кремний-2012». Книга тезисов.: СПб.: Научно-образовательный центр нанотехнологий РАН, 2012. С. 304–304.
В докладе приводятся описание созданной экспериментальной установки для напыления наноразмерных пленок различных материалов, а также результаты экспериментов по магнетронному напылению наноразмерных пленок кремния и других материалов на различные подложки. На основе экспериментальных данных выявлены границы применимости метода и требования к процессам напыления и условиям измерения. ...
Added: December 13, 2012
Рентгеновская рефлектометрия in situ. Возможности и ограничения
Yegorov A. A., Monakhov I., Novoselova E. et al., В кн.: Труды ХХII Международной конференции «Радиационная физика твердого тела» (Севастополь, 9-14 июля 2012 г.).: М.: ФГБНУ "НИИ ПМТ", 2012. С. 354–366.
We present experimental and calculated time dependences of parameters (density, surface roughness) for nanoscale films of carbon, aluminum and titanium. On the basis of these data the possibilities and limitations of the method of in situ X-ray reflectivity are demonstrated. ...
Added: December 13, 2012
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