Protonic solid-state electrochemical synapse for physical neural networks.

ABSTRACT: Physical neural networks made of analog resistive switching processors are promising platforms for analog computing. State-of-the-art resistive switches rely on either conductive filament formation or phase change. These processes suffer from poor reproducibility or high energy consumption, respectively. Herein, we demonstrate the behavior of an alternative synapse design that relies on a deterministic charge-controlled mechanism, modulated electrochemically in solid-state. The device operates by shuffling the smallest cation, the proton, in a three-terminal configuration. It has a channel of active material, WO₃. A solid proton reservoir layer, PdH_x, also serves as the gate terminal. A proton conducting solid electrolyte separates the channel and the reservoir. By pr

SUBMITTER: Yao X 

PROVIDER: S-EPMC7371700 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature