Ultra-high density perovskite nanowire array memristor-based multi-layer perceptron
Abstract
Passive memristor crossbars present a high-density and low-power platform for neuromorphic computing. Although perovskite memristors present advantages such as re-configurability between electrochemical metallization and valence change mechanisms compared to traditional oxides, they face issues with uniformity, variability, and filamentary instability, which impede their large-scale integration. This work demonstrates that these limitations are overcome by a three-dimensional perovskite nanowire array architecture, where a precisely engineered ITO barrier is instrumental in maintaining controlled, analog conductance modulation. The resulting memristors exhibit 139 non-overlapping Ohmic conduction states within an optimal analog range (10–100 µS), long retention ( > 10⁶ s), endurance exceeding 4 × 10⁵ cycles, an asymmetric non-linearity factor of 0.3, and minimal variability (device-to-device
Fields of Study & Subjects
Advanced Memory and Neural Computing
Perovskite Materials and Applications
Transition Metal Oxide Nanomaterials
Publication details
- Journal / source
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Volume
- 17
- Issue
- 1
- Publication date
- 27 May 2026
- Language
- EN