# High-throughput design of optoelectronic–ferroelectric heterostructure from materials to sensor–memory–computing devices

**Authors:** Gaokuo Zhong, Jiaqi Yan, Mingkai Tang, Haoyue Deng, Yangchun Tan, Xiangli Zhong, Changjian Li, Zhen Fan, Jinbin Wang, Jiangyu Li

PMC · DOI: 10.1093/nsr/nwaf530 · National Science Review · 2025-11-26

## TL;DR

This paper introduces a high-throughput method to design multifunctional ferroelectric synapses that can be modulated by both light and electricity, enabling efficient sensor-memory-computing systems.

## Contribution

A novel high-throughput strategy for designing optoelectronic co-modulated ferroelectric synapses is introduced.

## Key findings

- A Pb(Zr0.2Ti0.8)O3/InGaZnO heterostructure was designed for optoelectronic co-modulation.
- An artificial SMC system achieved 88.42% image recognition accuracy with low power consumption.
- The system demonstrates reduced hardware overheads and fast processing speed.

## Abstract

Ferroelectric-based artificial synapses have emerged as fascinating candidates for the development of intelligent sensor–memory–computing (SMC) systems, thanks to the remarkable nonvolatile properties and abundant polarization states that ferroelectrics offer. However, simultaneously modulating the ferroelectric synapse through optical and electrical excitation is challenging. Herein, we propose a high-throughput strategy for designing optoelectronic co-modulated ferroelectric synapses. This strategy involves designing a ferroelectric field-effect transistor (FeFET) based on the Pb(Zr0.2Ti0.8)O3/InGaZnO (IGZO) heterostructure, which includes an IGZO homostructure, followed by high-throughput screening of IGZO materials that enable both optical and electrical modulation. The transistors with optoelectronic co-modulated synaptic functionalities are subsequently screened from a set of high-throughput FeFETs. Based on these optoelectronic co-modulated ferroelectric synapses, an artificial SMC system that can simultaneously sense and recognize images is constructed, achieving a high recognition accuracy of 88.42% and this SMC system simultaneously exhibits the advantages of reduced hardware overheads, fast speed and low power consumption. Our work introduces a novel strategy for designing multifunctional artificial synapses from materials to devices, which may represent a new paradigm in the development of high-performance SMC systems.

A high-throughput strategy for designing materials-to-device optoelectronic co-modulated ferroelectric synapses, highlighting the efficiency and exploratory potential of systematic high-throughput approaches.

## Full-text entities

- **Chemicals:** IGZO (-), Pb( (MESH:D007854)

## Full text

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## Figures

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## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12839522/full.md

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Source: https://tomesphere.com/paper/PMC12839522