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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| 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 |