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dc.contributor.authorHellenbrand, Markus-
dc.contributor.authorMacManus-Driscoll, Judith-
dc.date.accessioned2023-09-15T08:24:03Z-
dc.date.available2023-09-15T08:24:03Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1186/s40580-023-00392-4-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/9050-
dc.descriptionCC-BYvi
dc.description.abstractIn the growing area of neuromorphic and in-memory computing, there are multiple reviews available. Most of them cover a broad range of topics, which naturally comes at the cost of details in specific areas. Here, we address the specific area of multi-level resistive switching in hafnium-oxide-based devices for neuromorphic applications and summarize the progress of the most recent years. While the general approach of resistive switching based on hafnium oxide thin films has been very busy over the last decade or so, the development of hafnium oxide with a continuous range of programmable states per device is still at a very early stage and demonstrations are mostly at the level of individual devices with limited data provided. On the other hand, it is positive that there are a few demonstrations of full network implementations. We summarize the general status of the field, point out open questions, and provide recommendations for future work.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectMulti-level resistive switchingvi
dc.subjectneuromorphic computingvi
dc.titleMulti-level resistive switching in hafnium-oxide-based devices for neuromorphic computingvi
dc.typeBookvi
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