Mimicking biological synapses with a-HfSiO(x)-based memristor: implications for artificial intelligence and memory applications

Memristors, owing to their uncomplicated structure and resemblance to biological synapses, are predicted to see increased usage in the domain of artificial intelligence. Additionally, to augment the capacity for multilayer data storage in high-density memory applications, meticulous regulation of qu...

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Detalles Bibliográficos
Autores principales: Ismail, Muhammad, Rasheed, Maria, Mahata, Chandreswar, Kang, Myounggon, Kim, Sungjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Full Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333172/
https://www.ncbi.nlm.nih.gov/pubmed/37428275
http://dx.doi.org/10.1186/s40580-023-00380-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333172/
https://www.ncbi.nlm.nih.gov/pubmed/37428275
http://dx.doi.org/10.1186/s40580-023-00380-8

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