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  • Влияние состава на вязкость растворов и структуру высокопористых композиционных материалов альгинат–поливинилпирролидон– карбонатгидроксиапатит
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News
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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Влияние состава на вязкость растворов и структуру высокопористых композиционных материалов альгинат–поливинилпирролидон– карбонатгидроксиапатит

Перспективные материалы. 2025. № 11. С. 17–28.
Гречишникова А. А., Трофимчук Е. С., Егоров А. А., Антонова О. С., Дедушенко С. К., Фадеева И. В.

Composite gels based on polyvinylpyrrolidone (PVP) and alginate (Alg) with carbonate hydroxyapatite (CHA) were obtained. Their kinematic and dynamic viscosities were measured. It has been shown that the introduction of CHA in an amount of up to 40 % by weight of polymers leads to a decrease in kinematic viscosity, and the introduction of 50 % by weight. CHA significantly increases it. The dependence of the dynamic viscosity of PVP gels with Alg 1:1 and composite gels is in the nature of pseudoplastic liquids and to a lesser extent depends on the content of CHA. Highly porous composite materials were obtained from composite gels by lyophilization. Their microstructure and porosity were studied and the average pore size was determined. It is shown that the volume fraction of pores decreases from 95 to 70 % by volume and the average pore size decreases from 325 to 166 µms when adding CHA to 40 % by weight. The mechanical properties of composites during compression testing are investigated. They have been shown to exhibit behavior characteristic of macroporous structures. The modulus of elasticity increases from 8 to 184 kPa with an increase in the CHA content from 10 to 50 wt. % It was found that composites exhibit reversible deformation at the level of 98 %. The results obtained provide an understanding of the effect of the composition on the viscosity and porosity of composite materials based on alginate with CHA obtained by lyophilization of the solution. The results of mechanical compression and reversible deformation tests allow us to consider the obtained composites for use in bone grafting.

Language: Russian
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Keywords: вязкостьviscositypolyvinylpyrrolidoneполивинилпирролидональгинат натрияalginatecarbonate hydroxyapatite highly porous materialscompression testвысокопористые материалыкарбонатгидроксиапатитиспытание на сжатие
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