期刊论文

Wang, Yan;Luo, LB;Lv, ZY

英文

Nano Energy

2211-2855

2025

138

110830

10.1016/j.nanoen.2025.110830

National Natural Science Foundation of China [52473256, 52103297, 62104154, 62074048, 62305097]; Guangdong Provincial Department of Science and Technology [2024A1515010006]; Science and Technology Innovation Commission of Shenzhen [JCYJ20230808105900001, JCYJ20210324095207020]; Key Research and Development Plan of Anhui Province [2022f04020007]; Natural Science Foundation of Anhui Province [2108085MF229, 2208085MF177]; Fundamental Research Funds for the Central Universities [PA2020GDKC0014, JZ2022HGQA0185, JZ2024HGTB0233]

本校为其他机构

Physical reservoir computing (RC) mimics the brain's capacity for temporal processing by mapping inputs into high-dimensional feature spaces. This biologically inspired approach offers advantages in terms of training efficiency and real-time performance. To enhance physical RC's accuracy, nonlinear and dynamic responses are essential to distinguish complex time-series input data. Here, we present a sodium-doped perovskite memristor-based RC system that capitalizes on the synergistic effects of photovoltaic and photogating to induce nonlinear an...