Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications
Yu Diao, Yaoxuan Zhang, Yanran Li, Jie Jiang, Athanasios Vourvopoulos, Serafeim Perdikis · 2023
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Description
Yu Diao and five co-authors shared a review in twenty twenty-three. It is about metal-oxide heterojunctions as artificial synapses. These are hardware parts that compute the way brains do. Conventional architectures shuttle data back and forth. They move it between memory and processor, and that wastes energy. Neuromorphic devices merge the two in one place. Layered metal oxides are leading candidates. Their interfaces can be tuned by design.
The review covers how the materials are made. It covers how their junctions mimic synaptic strengthening and weakening. It covers the device numbers that matter too. Those are power, stability, and switching behavior. New systems sense vision, touch, and even pain through such junctions. Challenges remain, from uniformity to integration. The review lists them with candidate fixes. The authors put interface engineering at the center. The deliberate design of the boundary between oxides will decide the technology.
Catalog record
| CREATOR | Yu Diao, Yaoxuan Zhang, Yanran Li, Jie Jiang, Athanasios Vourvopoulos, Serafeim Perdikis |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |