Reconfigurable All-Optical Synapse Based on Photonic Crystal Nanobeam Cavities with Ferroelectric Carrier Injection Valve

Synaptic activity is fundamental to memory and learning in the nervous system. However, most artificial synaptic devices are limited to mimicking static plasticity, and tunable plasticity has not been achieved at the device level. Here, we introduce a dynamic all-optical synapse based on photonic crystal nanobeam cavities with a ferroelectric carrier injection valve. By leveraging the nonlinear and ferroelectric electrostatic doping effects in silicon, integrated with Hf0.5Zr0.5O2 (HZO) film as the ferroelectric layer and indium tin oxide (ITO) as the top electrode, we enhance linearity and reduce power consumption. Increasing the bias voltage further improves linearity while decreasing power consumption. This innovation offers a promising pathway for developing energy-efficient nanophotonic devices in neuromorphic computing.

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Publication Details

Journal
Photonics
Published
2025-08-29
DOI
https://doi.org/10.3390/photonics12090871
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconfigurable All-Optical Synapse Based on Photonic Crystal Nanobeam Cavities with Ferroelectric Carrier Injection Valve

En Zhang, Duomao Li, Xiao‐Hua Ma, Han Xie et al.
Photonics
Neural Networks and Reservoir Computing
article

Reconfigurable All-Optical Synapse Based on Photonic Crystal Nanobeam Cavities with Ferroelectric Carrier Injection Valve

En Zhang, Duomao Li, Xiao‐Hua Ma, Han Xie, Danyang Yao, Youbin Wang, Xiaoli Lu, Ran Xu, Yue Hao, Yiwei Zhang, Dongming Fang, J. X. Song
article en

Abstract

Synaptic activity is fundamental to memory and learning in the nervous system. However, most artificial synaptic devices are limited to mimicking static plasticity, and tunable plasticity has not been achieved at the device level. Here, we introduce a dynamic all-optical synapse based on photonic crystal nanobeam cavities with a ferroelectric carrier injection valve. By leveraging the nonlinear and ferroelectric electrostatic doping effects in silicon, integrated with Hf0.5Zr0.5O2 (HZO) film as the ferroelectric layer and indium tin oxide (ITO) as the top electrode, we enhance linearity and reduce power consumption. Increasing the bias voltage further improves linearity while decreasing power consumption. This innovation offers a promising pathway for developing energy-efficient nanophotonic devices in neuromorphic computing.

PhotonicsVol. 12(9)
Xidian University (CN), Sun Yat-sen University (CN), Beijing Microelectronics Technology Institute (CN), Huizhou University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 88%
Neural Networks and Reservoir Computing
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Reconfigurable All-Optical Synapse Based on Photonic Crystal Nanobeam Cavities with Ferroelectric Carrier Injection Valve — En Zhang, Duomao Li, et al. · Photonics (2025) | TGRS Research Map | TGRS