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He Zhenyu

Researcher at Fudan University

Publications -  28
Citations -  516

He Zhenyu is an academic researcher from Fudan University. The author has contributed to research in topics: Neuromorphic engineering & Layer (electronics). The author has an hindex of 9, co-authored 27 publications receiving 228 citations.

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Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application

TL;DR: A flexible three-layer crossbar memristor arrays based on HfAlOx film deposited by controlled growth of low-temperature atomic layer deposition is presented, exhibiting the multilevel information transmission functionality with the power consumption of 4.28 aJ and the speed of 50 ns in per synaptic event.
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Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation.

TL;DR: The novel wearable heterosynapse expands the accessible range of synaptic weights (ratio of facilitation ≈228%), providing an insight into the application of wearable 2D highly efficient neuromorphic computing architectures.
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Flexible Electronic Synapses for Face Recognition Application with Multimodulated Conductance States.

TL;DR: A two-terminal flexible organic artificial synaptic device with ultra-multimodulated conductance states is presented, realizing a face recognition functionality with a strong error-tolerant nature for the first time.
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Flexible boron nitride-based memristor for in situ digital and analogue neuromorphic computing applications.

TL;DR: This paper proposes a flexible low-dimensional memristor based on boron nitride (BN), which has ultralow-power non-volatile memory characteristic, reliable digital memcomputing capabilities, and integrated ultrafast neuromorphic computing capabilities in a single in situ computing system.
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Reconfigurable optoelectronic memristor for in-sensor computing applications

TL;DR: The present results demonstrate the attractive bio-inspired in-sensor computing behaviors of the optoelectronic memristors, opening up potential applications of optoe reflectors in next-generation reconfigurable sensing-memory-computing integrated paradigms.