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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...
Autores principales: | R, Rajalekshmi T., Das, Rinku Rani, Reghuvaran, Chithra, James, Alex |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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