Temperature-Driven Co-optimization of IGZO/HZO Ferroelectric Field-Effect Transistors for Optoelectronic Neuromorphic Computing

IF 16.8 1区 材料科学 Q1 CHEMISTRY, PHYSICAL Nano Energy Pub Date : 2025-03-05 DOI:10.1016/j.nanoen.2025.110837
Deokjoon Eom, Hyunhee Kim, Woohui Lee, Changyu Park, Jinsung Park, Heesoo Lee, Taegyu Kim, San Nam, Yong-Hoon Kim, Hyoungsub Kim
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Abstract

The integration of ferroelectricity and the photoelectric effect offers substantial potential for the realization of optoelectronic-based artificial neural networks (ANNs) and biomimetic systems. Despite their potential, the application of ferroelectric field-effect transistors (FeFETs) in optoelectronic neuromorphic devices, where light regulates synaptic activation, remains largely unexplored. Here, we report InGaZnO/Zr-doped HfO2 (IGZO/HZO) artificial synapses for the emulation of optoelectronic ANNs and optogenetic-inspired neural functions. Particularly, by simultaneously optimizing the post-deposition annealing (PDA) process for the stabilization of HZO ferroelectric phase and activation of IGZO channel, high-performance FeFETs exhibiting a memory window of ~1 V and endurance up to 104 cycles were achieved. Spectroscopic analyses correlated PDA temperature-dependent dynamic transitions in electrical properties with hydrogen relocation, oxygen vacancy formation, zinc vaporization, and film densification. The IGZO/HZO synapses successfully emulated synaptic functions such as spike-amplitude and spike-duration-dependent plasticity, using both electrical (E) and optical (O) stimulation. Furthermore, dual E/O stimulus activation of IGZO/HZO synapses, combined with polarization state modulation, was employed to emulate optogenetic-inspired neural functions. We also demonstrated that dual E/O stimulus activation of artificial synapses enhanced ANN image recognition accuracy from 86% to 90%, outperforming the performance achieved with a single E-stimulation. We envision that these findings can provide a process protocol for IGZO/HZO FeFETs to achieve stable phasic control and realization of optoelectronic neuromorphic devices.

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用于光电神经形态计算的 IGZO/HZO 铁电场效应晶体管的温度驱动协同优化
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来源期刊
Nano Energy
Nano Energy CHEMISTRY, PHYSICAL-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
30.30
自引率
7.40%
发文量
1207
审稿时长
23 days
期刊介绍: Nano Energy is a multidisciplinary, rapid-publication forum of original peer-reviewed contributions on the science and engineering of nanomaterials and nanodevices used in all forms of energy harvesting, conversion, storage, utilization and policy. Through its mixture of articles, reviews, communications, research news, and information on key developments, Nano Energy provides a comprehensive coverage of this exciting and dynamic field which joins nanoscience and nanotechnology with energy science. The journal is relevant to all those who are interested in nanomaterials solutions to the energy problem. Nano Energy publishes original experimental and theoretical research on all aspects of energy-related research which utilizes nanomaterials and nanotechnology. Manuscripts of four types are considered: review articles which inform readers of the latest research and advances in energy science; rapid communications which feature exciting research breakthroughs in the field; full-length articles which report comprehensive research developments; and news and opinions which comment on topical issues or express views on the developments in related fields.
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