Ferroelectrically programmable lanthanide luminescent memristor

Spatial-light computing requires rewritable, multilevel and persistent optical weights, but many implementations rely on volatile modulators or static power. Here we report a CMOS-imaged luminescent memristor array in which ferroelectric domain switching in Er/Yb-doped PMN-PT single crystals programs non-volatile photoluminescence (PL) states. Domain reconfiguration tunes the local crystal-field symmetry of lanthanide emitters, enabling 16 analogue levels, retention over 27 h, endurance beyond 105 cycles and microsecond-scale state programming with zero electrical standby power for state retention. An 8 × 8 array, addressed by a diffractive optical element and read by a proximal CMOS sensor, converts stored emissive states into a single-frame intensity map and achieves 94.02% pixel-wise state recognition using calibration-aware decoding. The array implements single-step optical linear weighting, while the same decoded weights support hybrid optical-electrical handwritten-digit inference approaching a 32-bit floating-point software baseline. These results establish a non-volatile, image-addressable emissive weight element for photonic computing. Spatial-light computing is limited by the lack of compact, non-volatile, rewritable analog devices. Wen et al. report a ferroelectric crystal that converts lanthanide emission into a rewritable, multilevel memory, allowing stored optical states to be read and used as persistent weights for neuromorphic computing.

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Publication Details

Journal
Nature Communications
Published
2026-09-08
DOI
https://doi.org/10.1038/s41467-026-77397-0
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Ferroelectrically programmable lanthanide luminescent memristor

Wenzheng Ma, Ziyun Chen, Yiyang Wen, Jianhua Hao et al.
Nature Communications
Advanced Memory and Neural Computing
article

Ferroelectrically programmable lanthanide luminescent memristor

Wenzheng Ma, Ziyun Chen, Yiyang Wen, Jianhua Hao, Yuhao Feng, Zhenping Wu, Xu Li, Yang Zhang, Weiwei Liu, Minghao Hu, Xiaona Du, Yilin Cao, Hongda Ren, Fan Zhang
article en

Abstract

Spatial-light computing requires rewritable, multilevel and persistent optical weights, but many implementations rely on volatile modulators or static power. Here we report a CMOS-imaged luminescent memristor array in which ferroelectric domain switching in Er/Yb-doped PMN-PT single crystals programs non-volatile photoluminescence (PL) states. Domain reconfiguration tunes the local crystal-field symmetry of lanthanide emitters, enabling 16 analogue levels, retention over 27 h, endurance beyond 105 cycles and microsecond-scale state programming with zero electrical standby power for state retention. An 8 × 8 array, addressed by a diffractive optical element and read by a proximal CMOS sensor, converts stored emissive states into a single-frame intensity map and achieves 94.02% pixel-wise state recognition using calibration-aware decoding. The array implements single-step optical linear weighting, while the same decoded weights support hybrid optical-electrical handwritten-digit inference approaching a 32-bit floating-point software baseline. These results establish a non-volatile, image-addressable emissive weight element for photonic computing. Spatial-light computing is limited by the lack of compact, non-volatile, rewritable analog devices. Wen et al. report a ferroelectric crystal that converts lanthanide emission into a rewritable, multilevel memory, allowing stored optical states to be read and used as persistent weights for neuromorphic computing.

Nature Communications
Beijing University of Posts and Telecommunications (CN), Hong Kong Polytechnic University (HK), Nankai University (CN), Beijing Academy of Artificial Intelligence (CN), Shanghai Institute of Ceramics (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Memory and Neural Computing
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