Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
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  • 01. Публикации в изданиях зарубежных стран
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Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing

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Автор
Suleimenov, Ibragim
Gabrielyan, Oleg
Kopishev, Eldar
Kadyrzhan, Aruzhan
Bakirov, Akhat
Vitulyova, Yelizaveta
Дата
2024
Редактор
Gels
ISSN
2310-2861
xmlui.dri2xhtml.METS-1.0.item-identifier-citation
Suleimenov, I.; Gabrielyan, O.; Kopishev, E.; Kadyrzhan, A.; Bakirov, A.; Vitulyova, Y. Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing. Gels 2024, 10, 715. https://doi.org/ 10.3390/gels10110715
Аннотации
The current state of affairs in the field of using polymer hydrogels for the creation of innovative systems for signal and image processing, of which computing is a special case, is analyzed. Both of these specific examples of systems capable of forming an alternative to the existing semiconductor-based computing technology, but assuming preservation of the used algorithmic basis, and non-trivial signal converters, the nature of which requires transition to fundamentally different algorithms of data processing, are considered. It is shown that the variability of currently developed information processing systems based on the use of polymers, including polymer hydrogels, leads to the need to search for complementary algorithms. Moreover, the well-known thesis that modern polymer science allows for the realization of functional materials with predetermined properties, at the present stage, receives a new sounding: it is acceptable to raise the question of creating systems built on a quasi-biological basis and realizing predetermined algorithms of information or image processing. Specific examples that meet this thesis are considered, in particular, promising information protection systems for UAV groups, as well as systems based on the coupling of neural networks with holograms that solve various applied problems. These and other case studies demonstrate the importance of interdisciplinary cooperation for solving problems arising from the need for further modernization of signal processing systems.
URI
http://repository.enu.kz/handle/enu/29762
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