High-precision and linear weight updates by subnanosecond pulses in ferroelectric tunnel junction for neuro-inspired computing
oleh: Zhen Luo, Zijian Wang, Zeyu Guan, Chao Ma, Letian Zhao, Chuanchuan Liu, Haoyang Sun, He Wang, Yue Lin, Xi Jin, Yuewei Yin, Xiaoguang Li
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-02-01 |
Deskripsi
Brain-inspired computing demands high-performance synapses. Here, the authors report a subnanosecond ferroelectric tunnel junction with 256 conductance states, 109 endurance, and 5.3 fJ/bit energy consumption, satisfactory to build synaptic devices.