Wei Wang

Dr. Wei Wang


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 May 2016 in Advanced Materials
Verified
Journal Article
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CWChang Jin Wan
Chang Jin Wan
YLYanghui Liu
Yanghui Liu
PFPing Feng
Ping Feng
WWWei Wang
Wei Wang
LZLiqiang Zhu
Liqiang Zhu
QWQing Wan
Qing Wan

9 May 2016 in RSC Advances
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Journal Article
Closed access
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GYG. Y. Yang
G. Y. Yang
LCL. Chen
L. Chen
PJP. Jiang
P. Jiang
ZGZ. Y. Guo
Z. Y. Guo
WWWei Wang
Wei Wang
ZLZhaoping Liu
Zhaoping Liu
Three-dimensional (3D) graphene networks are attracting ever-increasing attention in the field of energy storage because their unique architecture at macroscopic scales is beneficial for effective electron and ion transport. Herein, a novel interconnected 3D graphene mesh network (3D GMN) was successfully designed and fabricated by folded Ni meshes assisted chemical vapor deposition method. The structure parameters of 3D GMN can be controlled well by tuning the period of Ni mesh and the electroplating time. With the increase of the density of 3D GMN, the electrical conductivity of 3D GMN and the thermal conductivity of 3D GMN/epoxy composite are greatly improved compared to that of the 3D graphene foam. This 3D GMN enables the high capacity of 57 mA h g−1 in an aluminum ion battery at the ultra-high rate of 40C with capacity retention of 96.5% after 200 cycles.

26 October 2018 in Materials
Verified
Journal Article
Open access
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RWRui Wang
Rui Wang
TSTuo Shi
Tuo Shi
XZXumeng Zhang
Xumeng Zhang
WWWei Wang
Wei Wang
JWJinsong Wei
Jinsong Wei
MLMing Liu
Ming Liu
Synaptic devices with bipolar analog resistive switching behavior are the building blocks for memristor-based neuromorphic computing. In this work, a fully complementary metal-oxide semiconductor (CMOS)-compatible, forming-free, and non-filamentary memristive device (Pd/Al2O3/TaOx/Ta) with bipolar analog switching behavior is reported as an artificial synapse for neuromorphic computing. Synaptic functions, including long-term potentiation/depression, paired-pulse facilitation (PPF), and spike-timing-dependent plasticity (STDP), are implemented based on this device; the switching energy is around 50 pJ per spike. Furthermore, for applications in artificial neural networks (ANN), determined target conductance states with little deviation (<1%) can be obtained with random initial states. However, the device shows non-linear conductance change characteristics, and a nearly linear conductance change behavior is obtained by optimizing the training scheme. Based on these results, the device is a promising emulator for biology synapses, which could be of great benefit to memristor-based neuromorphic computing.

6 August 2019 in Nanoscale Advances
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Journal Article
Open access
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ZWZuheng Wu
Zuheng Wu
XZXiaolong Zhao
Xiaolong Zhao
YYYang Yang
Yang Yang
WWWei Wang
Wei Wang
XZXumeng Zhang
Xumeng Zhang
Writam BanerjeeWritam Banerjee
Writam Banerjee
Resistive switching devices based on binary transition metal oxides have been widely investigated. However, these devices invariably manifest threshold switching characteristics when the active metal electrode is silver, the dielectric layer is hafnium oxide and platinum is used as the bottom electrode, and have a relatively low compliance current (<100 μA). Here we developed a way to transform an Ag-based hafnium oxide selector into quantum-contact originated memory with a low compliance current, in which a graphene interface barrier layer is inserted between the silver electrode and hafnium oxide layer. Devices with structure Ag/HfOx/Pt acts as a bipolar selector with a high selectivity of >108 and sub-threshold swing of ∼1 mV dec−1. After introducing a graphene interface barrier, high stress dependent (forming at +3 V) formation of localized conducting filaments embodies stable nonvolatile memory characteristics with low set/reset voltages (<±1.0 V), low reset power (6 μW) and multi-level potential. Grain boundaries of the graphene interface control the type of switching in the devices. A good barrier can switch the Ag-based volatile selector into Ag-based nonvolatile memory.


30 December 2020 in Journal of Materials Chemistry C
Verified
Journal Article
Closed access
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ZZZhikun Zhang
Zhikun Zhang
LXLianlian Xia
Lianlian Xia
LLLizhao Liu
Lizhao Liu
YCYuwen Chen
Yuwen Chen
ZWZuozhi Wang
Zuozhi Wang
ZLZhaoping Liu
Zhaoping Liu
Large surface roughness, especially caused by the large particles generated during both the transfer and the doping processes of graphene grown by chemical vapor deposition (CVD) is always a critical issue that impedes the utility of graphene in the next-generation flexible thin-film opto-electronic devices such as organic light-emitting diodes (OLEDs), because it yields pinhole defects, leakage current, and electrical shorts, etc., causing non-emitting areas and device performance degradation over time. Here, an extremely smooth and robust PEDOT:PSS/graphene/PET hybrid anode is reported, prepared by direct and polymer-free transfer of CVD-grown graphene onto the smooth PET substrate. Flexible OLEDs with such hybrid anodes have the maximum brightness, current efficiency (CE) and power efficiency (PE), as high as 19 000 cd m−2, 76 cd A−1 and 61 lm W−1, respectively, which are superior to those of the ITO/glass-based OLEDs. Moreover, a 2.5-inch monolithic flexible OLED has been successfully fabricated. The luminescence is very uniform and no dark spots are observed in the unencapsulated OLEDs, demonstrating the effectiveness of our strategies and the great prospect of graphene-based flexible OLEDs in the future foldable and rollable displays.