Interface-type tunable oxygen ion dynamics for physical reservoir computing.

ABSTRACT: Reservoir computing can more efficiently be used to solve time-dependent tasks than conventional feedforward network owing to various advantages, such as easy training and low hardware overhead. Physical reservoirs that contain intrinsic nonlinear dynamic processes could serve as next-generation dynamic computing systems. High-efficiency reservoir systems require nonlinear and dynamic responses to distinguish time-series input data. Herein, an interface-type dynamic transistor gated by an Hf_0.5Zr_0.5O₂ (HZO) film was introduced to perform reservoir computing. The channel conductance of Mott material La_0.67Sr_0.33MnO₃ (LSMO) can effectively be modulated by taking advantage of the unique coupled property of the polarization proc

SUBMITTER: Liu Z 

PROVIDER: S-EPMC10630289 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature