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Layer-by-layer technique for the fabrication of organic memristors and neuromorphic systems

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dc.contributor.author Erokhina S.
dc.date.accessioned 2018-09-19T22:55:45Z
dc.date.available 2018-09-19T22:55:45Z
dc.date.issued 2016
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/145775
dc.description.abstract © 2015 IEEE.Layer-by-layer polyelectrolyte self assembling is a very promising techniques for the realization of organic films with nm resolution in thickness. We report here the application of the technique for the realization of active layers of organic memristors and for the realization of stochastic systems with learning properties. In particular, active channels of the memristive devices were fabricated by the deposition of alternating layers of polyaniline and polystyrene sulfonate. The advantage of the method is connected to the fact that additional doping is not required. Stochastic networks were formed on porous supports and revealed the adaptation of properties according to the applied external training procedures.
dc.subject Adaptation and learning
dc.subject Layer-by-Layer (LbL) technique
dc.subject neuromorphic network
dc.subject organic memristor
dc.subject polyaniline
dc.title Layer-by-layer technique for the fabrication of organic memristors and neuromorphic systems
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS-2016-SID84971654620


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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