| Autor: |
Tsipas, Evangelos, Chatzinikolaou, Theodoros Panagiotis, Tsakalos, Karolos-Alexandros, Rallis, Konstantinos, Karamani, Rafailia-Eleni, Fyrigos, Iosif-Angelos, Kitsios, Stavros, Bousoulas, Panagiotis, Tsoukalas, Dimitrios, Sirakoulis, Georgios Ch. |
| Zdroj: |
Nanotechnology Magazine; December 2022, Vol. 16 Issue: 6 p34-45, 12p |
| Abstrakt: |
One of the most enticing candidates for next-generation computing systems is the memristor. Memristor-based novel architectures have demonstrated considerable promise in replacing or augmenting traditional computing platforms based on the Von Neumann architecture, which faces many issues in the big-data era, as well as in newly developed neuromorphic tasks. Although the current classical computing architecture is unlikely to be abandoned in the foreseeable future, the growing trend of neuromorphic, quantum, and bio-inspired computing schemes calls for more specialized beyond Von Neumann platforms. Memristors showcase multiple advantages in terms of small area footprint, energy efficiency, high endurance, bio-compatibility, and their inherent synaptic and neuromorphic behavior. The topic of this work is to present the memristive devices that meet the requirements for the implementation of the novel beyond Von Neumann applications and examine their switching mechanism and material selection, as well as to conduct a performance comparison between the fabricated devices paving the way for future computing applications. |
| Databáze: |
Supplemental Index |
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