Three‐Terminal Reconfigurable Volatile/Nonvolatile Light‐Emitting Memristor for Integrated Neuromorphic Display Systems

C Chuiying Yang (Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China) J Jiabin Ye (Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China) Y Yi Zou (College of Pharmaceutical Sciences) Y Yuke Xu (Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China) P Peng Yang S Shengji Yang (Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China) G Gengxu Chen (Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China) H Huipeng Chen

Abstract

ABSTRACT Reconfigurable volatile/nonvolatile neuromorphic devices integrate brain‐like rapid learning with stable memory, providing a critical pathway toward edge‐intelligent systems. The integration of reconfigurable devices and light‐emitting functionality transforms the display from a passive output terminal into an integral hub of the intelligent system. However, integrating reconfigurable volatile/nonvolatile memory and light‐emitting functionality within a single device remains a major challenge because of the inherent conflicts among multiple functions and the constraints of conventional two‐terminal control. Here, for the first time, we present a three‐terminal reconfigurable volatile/nonvolatile light‐emitting memristor. The three‐terminal configuration provides control of the emission region and memory states, enabling seamless transition between volatile, nonvolatile, and light‐emission operations. By enabling spatial reconfigurability and temporal multiplexing of emission, the device improves scalability and simplifies system architecture and control, achieving a 69.23% reduction in data‐transfer volume and a 40% reduction in system component count compared with separated architectures. In addition, it offers direct visual feedback while facilitating continuous learning in neuromorphic computing systems. Finally, we implement an anomaly‐detection visualization system based on the reconfigurable volatile/nonvolatile light‐emitting memristor, demonstrating its ability to produce direct visual output while processing information, thus enabling an integrated memory‐compute‐display architecture for next‐generation edge‐intelligent display systems.

Article Details

Volume / Issue Vol. 38, Issue 32
Published June 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (8)

C

Chuiying Yang

Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China

J

Jiabin Ye

Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China

Y

Yi Zou

College of Pharmaceutical Sciences

Y

Yuke Xu

Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China

P

Peng Yang

S

Shengji Yang

Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China

G

Gengxu Chen

Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou China

H

Huipeng Chen