H
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.
Papers
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Journal ArticleDOI
Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application
Tian-Yu Wang,Jia-Lin Meng,Ming-Yi Rao,He Zhenyu,Lin Chen,Hao Zhu,Qing-Qing Sun,Shi-Jin Ding,Wenzhong Bao,Peng Zhou,David Wei Zhang +10 more
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.
Journal ArticleDOI
Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation.
Tian-Yu Wang,Jia-Lin Meng,He Zhenyu,Lin Chen,Hao Zhu,Qing-Qing Sun,Shi-Jin Ding,Peng Zhou,David Wei Zhang +8 more
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.
Journal ArticleDOI
Flexible Electronic Synapses for Face Recognition Application with Multimodulated Conductance States.
Tian-Yu Wang,He Zhenyu,Hao Liu,Lin Chen,Hao Zhu,Qing-Qing Sun,Shi-Jin Ding,Peng Zhou,David Wei Zhang +8 more
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.
Journal ArticleDOI
Flexible boron nitride-based memristor for in situ digital and analogue neuromorphic computing applications.
Jia-Lin Meng,Tian-Yu Wang,He Zhenyu,Lin Chen,Hao Zhu,Li Ji,Qing-Qing Sun,Shi-Jin Ding,Wenzhong Bao,Peng Zhou,David Wei Zhang +10 more
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.
Journal ArticleDOI
Reconfigurable optoelectronic memristor for in-sensor computing applications
Tian-Yu Wang,Jia-Lin Meng,Qing-Xuan Li,He Zhenyu,Hao Zhu,Li Ji,Qing-Qing Sun,Lin Chen,David Wei Zhang +8 more
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.