Thermally stable threshold selector based on CuAg alloy for energy-efficient memory and neuromorphic computing applications
Abstract As a promising candidate for high-density data storage and neuromorphic computing, cross-point memory arrays provide a platform to overcome the von Neumann bottleneck and accelerate neural network computation. In order to suppress the sneak-path current problem that limits their scalability...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-06-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-39033-z |