Jiali Ou

Ultralow-power reservoir computing based on bidirectionally operable ferroelectric capacitors with tunable time constants

Linyuan Mo, Zhen Fan, Jiali Ou, Zhiwei Chen et autres

Physical reservoir computing (RC) systems have emerged as a prominent research frontier due to their exceptional efficiency in temporal information processing. However, existing implementations, predominantly utilizing resistive devices, face challenges pertaining to power efficiency and dynamic richness. Here, we propose a ferroelectric …

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In-sensor image memorization, low-level processing, and high-level computing by using above-bandgap photovoltages

Kun Liu, Shan Tan, Zhen Hong Fan, Haipeng Lin et autres

In-sensor computing holds great promise for ultrafast and energy-efficient machine vision. However, the development of a versatile in-sensor computing system that can integrate image memorization, low-level processing, and high-level computing functions remains a challenge, primarily due to the scarcity of photosensors that …

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Volatile Resistive Switching and Short-Term Synaptic Plasticity in a Ferroelectric-Modulated SrFeO x Memristor

Zhen Hong Fan, Linyuan Mo, Haipeng Lin, Meixia Li et autres

SrFeO x (SFO) offers a topotactic phase transformation between an insulating brownmillerite SrFeO 2.5 (BM-SFO) phase and a conductive perovskite SrFeO 3 (PV-SFO) phase, making it a competitive candidate for use in resistive memory and neuromorphic computing. However, most of existing SFO-based …

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In situ training of an in-sensor artificial neural network based on ferroelectric photosensors

Haipeng Lin, Jiali Ou, Zhen Hong Fan, Xiaobing Yan et autres

In-sensor computing has emerged as an ultrafast and low-power technique for next-generation machine vision. However, in situ training of in-sensor computing systems remains challenging due to the demands for both high-performance devices and efficient programming schemes. Here, we experimentally demonstrate the in …

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Piezoelectric neuron for neuromorphic computing

Wenjie Li, Shan Tan, Zhen Hong Fan, Zhiwei Chen et autres

Neuromorphic computing has attracted great attention for its massive parallelism and high energy efficiency. As the fundamental components of neuromorphic computing systems, artificial neurons play a key role in information processing. However, the development of artificial neurons that can simultaneously incorporate low …

Piezoelectric neuron for neuromorphic computing

Wenjie Li, Shan Tan, Zhen Hong Fan, Zhiwei Chen et autres

Neuromorphic computing has attracted great attention for its massive parallelism and high energy efficiency. As the fundamental components of neuromorphic computing systems, artificial neurons play a key role in information processing. However, the development of artificial neurons that can simultaneously incorporate low …

cn (code pays fourni par la source)