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Full-Inorganic Flexible Ag(2)S Memristor with Interface Resistance–Switching for Energy-Efficient Computing

[Image: see text] Flexible memristor-based neural network hardware is capable of implementing parallel computation within the memory units, thus holding great promise for fast and energy-efficient neuromorphic computing in flexible electronics. However, the current flexible memristor (FM) is mostly...

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Detalles Bibliográficos
Autores principales: Zhu, Yuan, Liang, Jia-sheng, Shi, Xun, Zhang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523614/
https://www.ncbi.nlm.nih.gov/pubmed/36102604
http://dx.doi.org/10.1021/acsami.2c11183

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