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Graphene-based RRAM devices for neural computing

Resistive random access memory is very well known for its potential application in in-memory and neural computing. However, they often have different types of device-to-device and cycle-to-cycle variability. This makes it harder to build highly accurate crossbar arrays. Traditional RRAM designs make...

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Detalles Bibliográficos
Autores principales: R, Rajalekshmi T., Das, Rinku Rani, Reghuvaran, Chithra, James, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598392/
https://www.ncbi.nlm.nih.gov/pubmed/37886675
http://dx.doi.org/10.3389/fnins.2023.1253075