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Brain-inspired Multimodal Synaptic Memory via Mechano-photonic Plasticized Asymmetric Ferroelectric Heterostructure
Advanced Functional Materials ( IF 18.5 ) Pub Date : 2024-09-17 , DOI: 10.1002/adfm.202408435
Jie Gong, Yichen Wei, Yifei Wang, Zhenyu Feng, Jinran Yu, Liuqi Cheng, Mingxia Chen, Linlin Li, Zhong Lin Wang, Qijun Sun

Neuromorphic devices capable of emulating biological synaptic behaviors are crucial for implementing brain-like information processing and computing. Emerging 2D ferroelectric neuromorphic devices provide an effective means of updating synaptic weight aside from conventional electrical/optical modulations. Here, by further synergizing with an energy-efficient synaptic plasticity strategy, a multimodal mechano-photonic synaptic memory device based on 2D asymmetric ferroelectric heterostructure is presented, which can be modulated by external mechanical behavior and light illumination. By integrating the asymmetric ferroelectric heterostructured field-effect transistor and a triboelectric nanogenerator, the mechanical displacement-derived triboelectric potential is ready for gating, programming, and plasticizing the synaptic device, resulting in superior electrical properties of high on/off ratios (> 107), large storage windows (equivalent to ≈95 V), excellent charge retention capability (> 104 s), good endurance (> 103 cycles), and primary synaptic behaviors. Besides, optical illumination can effectively synergize with mechanoplasticity to implement multimodal spatiotemporally correlated dynamic logic. The demonstrated multimodal memory synapse provides a facile and promising strategy for multifunctional sensory memory, interactive neuromorphic devices, and future brain-like electronics embodying artificial intelligence.

中文翻译:


通过机械光子塑化不对称铁电异质结构的类脑多模态突触记忆



能够模拟生物突触行为的神经形态设备对于实现类脑信息处理和计算至关重要。新兴的 2D 铁电神经形态器件提供了一种除了常规电/光调制之外更新突触权重的有效方法。在这里,通过与节能突触可塑性策略进一步协同作用,提出了一种基于 2D 不对称铁电异质结构的多模态机械光子突触记忆器件,该器件可以通过外部机械行为和光照明进行调制。通过将不对称铁电异质结构场效应晶体管和摩擦电纳米发电机集成在一起,机械位移衍生的摩擦电势可用于突触器件的门控、编程和塑化,从而产生高开/关比(> 107)、大存储窗口(相当于≈95 V)、出色的电荷保持能力(> 104 s)、良好的耐久性(> 103cycles)和初级突触行为。此外,光学照明可以有效地与机械塑性协同作用,实现多模态时空相关动力学逻辑。所展示的多模态记忆突触为多功能感觉记忆、交互式神经形态设备和体现人工智能的未来类脑电子设备提供了一种简单且有前途的策略。
更新日期:2024-09-17
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