F
Fang Song
Researcher at Xidian University
Publications - 14
Citations - 286
Fang Song is an academic researcher from Xidian University. The author has contributed to research in topics: Memristor & Resistive random-access memory. The author has an hindex of 7, co-authored 12 publications receiving 187 citations.
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A bio-inspired physically transient/biodegradable synapse for security neuromorphic computing based on memristors.
TL;DR: This work presents the first presentation of fully degradable biomimetic synaptic devices based on a W/MgO/ZnO/Mo memristor on a silk protein substrate, which show remarkable information storage and synaptic characteristics including long-term potentiation (LTP), long- term depression (LTD) and spike timing dependent plasticity (STDP) behaviors.
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Physically Transient Threshold Switching Device Based on Magnesium Oxide for Security Application.
TL;DR: A dissolvable and flexible threshold switching (TS) device with a vertically crossed structure is introduced, which exhibits a high selectivity of 107 and is capable of 107 Gb memory implementation, indicating that the transient TS device could provide great opportunities to achieve highly integrated transient memory arrays.
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ZnO-Based Physically Transient and Bioresorbable Memory on Silk Protein
TL;DR: In this article, physically transient and fully bioresorbable resistive switching devices based on ZnO are proposed, with excellent resistive switch memory performance shown in Mg/ZnO/W and Mg+W/Mg devices.
Journal ArticleDOI
Dissolvable and Biodegradable Resistive Switching Memory Based on Magnesium Oxide
Shiwei Wu,Hong Wang,Jing Sun,Fang Song,Zhan Wang,Mei Yang,He Xi,Yong Xie,Haixia Gao,Jigang Ma,Xiaohua Ma,Yue Hao +11 more
TL;DR: In this article, dissolvable and biodegradable resistive switching devices with a cell structure of Mg/MgO/mg were demonstrated, and they were able to completely dissolve as fast as 30 min while immersed in deionized (DI) water and in phosphate-buffered saline solution.
Journal ArticleDOI
Physically Transient Memristor Synapse Based on Embedding Magnesium Nanolayer in Oxide for Security Neuromorphic Electronics
Bingjie Dang,Quantan Wu,Jing Sun,Momo Zhao,Saisai Wang,Fang Song,Mei Yang,Xiaohua Ma,Hong Wang,Yue Hao +9 more
TL;DR: In this paper, a fully physically transient artificial synapse based on W/MgO/mg/MgaO/W memristor was realized for the first time by embedding magnesium nanolayer in MgO switching layer, multilevel and long-term memory with precise tuning ability.