Научные статьиM.H.Sayidova, S.U.Pulatova2025
Advanced Memristor Modeling. Memristor Circuits and Networks
Valeri Mladenov
Учебная литература · 2019
Аннотация
The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application in all the areas of industry. In this aspect the analysis of new efficient and advanced electronic elements and circuits is an essential field of the highly developed electrical and electronic engineering. The resistance-switching phenomenon, observed in many amorphous oxides has been investigated since 1970 and it is a promising technology for constructing new electronic memories. It has been established that such oxide materials have the ability for changing their conductance in accordance to the applied voltage and memorizing their state for a long-time interval. The memristor is a highly nonlinear component. It relates the electric charge q and the flux linkage, expressed as a time integral of the voltage. The memristor element has the important capability for remembering the electric charge passed through its cross-section and its respective resistance, when the electrical signals are switched off.
Доказательный фрагмент
«The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application…»
Образец извлечения
Демо-превьюThe investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application… Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
Смежные источники
Общество и инновацииKhosiyat MAMATKULOVA2024
Академические исследования в современной наукеKhudaiberdiyeva Arafat Israilovna, Ph.D Professor hudayberdiyevaarofat@gmail.com +12026
Научные статьиI.B.Yangiboyev, E.X.Berdanov +22025