Amorphous Three-dimensional porous Co3O4 nanowire network toward Superior OER Catalysis by Lithium-induced

The versatility of the template-assisted electrodeposition technique to fabricate complex three-dimensional networks made of interconnected nanowires allows one to easily stack ferromagnetic and non-magnetic metallic layers along the nanowire axis. This leads to the fabrication of unique multilayered nanowire network films showing giant magnetoresistance effect in the current-perpendicular-to-plane configuration that can be reliably measured along the macroscopic in-plane direction of the films. Moreover, the system also enables reliable measurements of the analogous magneto-thermoelectric properties of the multilayered nanowire networks. Here, three-dimensional interconnected NixFe1−x/Cu multilayered nanowire networks (with 0.60≤x≤0.97) are fabricated and characterized, leading to large magnetoresistance and magneto-thermopower ratios up to 17% and −25% in Ni80Fe20/Cu, respectively. A strong contrast is observed between the amplitudes of magnetoresistance and magneto-thermoelectric effects depending on the Ni content of the NiFe alloys. In particular, for the highest Ni concentrations, a strong increase in the magneto-thermoelectric effect is observed, more than a factor of 7 larger than the magnetoresistive effect for Ni97Fe3/Cu multilayers. This sharp increase is mainly due to an increase in the spin-dependent Seebeck coefficient from −7 µV/K for the Ni60Fe40/Cu and Ni70Fe30/Cu nanowire arrays to −21 µV/K for the Ni97Fe3/Cu nanowire array. The enhancement of the magneto-thermoelectric effect for multilayered nanowire networks based on dilute Ni alloys is promising for obtaining a flexible magnetic switch for thermoelectric generation for potential applications in heat management or logic devices using thermal energy.

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Three-Dimensional Ni/TiO2 Nanowire Network for High Areal Capacity Lithium Ion Microbattery Applications

Nano Letters ◽

10.1021/nl203434g ◽

2012 ◽

Vol 12 (2) ◽

pp. 655-660 ◽

Cited By ~ 196

Author(s):

Wei Wang ◽

Miao Tian ◽

Aziz Abdulagatov ◽

Steven M. George ◽

Yung-Cheng Lee ◽

...

Keyword(s):

Three Dimensional ◽

Lithium Ion ◽

Tio2 Nanowire ◽

Nanowire Network ◽

Areal Capacity

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Self-interconnecting Pt nanowire network electrode for electrochemical amperometric biosensor

Nanoscale ◽

10.1039/c5nr02526e ◽

2015 ◽

Vol 7 (26) ◽

pp. 11460-11467 ◽

Cited By ~ 28

Author(s):

Shuqi Wang ◽

Li-Ping Xu ◽

Hai-Wei Liang ◽

Shu-Hong Yu ◽

Yongqiang Wen ◽

...

Keyword(s):

Hydrogen Peroxide ◽

Three Dimensional ◽

High Sensitivity ◽

Amperometric Biosensor ◽

Good Stability ◽

Nanowire Network

A three-dimensional (3D) self-interconnecting Pt nanowire network electrode (PtNNE) was developed for detecting hydrogen peroxide and glucose with an extremely high sensitivity and good stability.

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Fabrication of three-dimensional sandwich-like silver nanowire network coated bilayer graphene nanostructures for flexible display

Applied Optics ◽

10.1364/ao.403839 ◽

2020 ◽

Vol 59 (31) ◽

pp. 9878

Author(s):

Hongyong Huang

Keyword(s):

Three Dimensional ◽

Bilayer Graphene ◽

Silver Nanowire ◽

Flexible Display ◽

Nanowire Network ◽

Graphene Nanostructures

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Surface Photovoltage Study of Indium Phosphide Nanowire Networks

MRS Proceedings ◽

10.1557/opl.2011.873 ◽

2011 ◽

Vol 1350 ◽

Author(s):

Andrew J. Lohn ◽

Jin-Woo Han ◽

Nobuhiko P. Kobayashi

Keyword(s):

Thin Film ◽

Indium Phosphide ◽

Numerical Solutions ◽

Three Dimensional ◽

Transport Equations ◽

Surface Photovoltage ◽

Nanowire Network ◽

Nanowire Networks

ABSTRACTSurface photovoltage of three-dimensional networks composed of fused indium phosphide (InP) nanowires is discussed. Particular emphasis is given to the dependence of surface photovoltage on the chopping frequency of light that excites the nanowire network as observed in regions which are laterally separated from the excitation. The nanowire network is modeled as a thin film to simplify numerical solutions to transport equations which aids in the interpretation of diffusion and drift of photo-generated carriers within the nanowire network.

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Electromagnetic Interference Shielding Properties of SiC Ceramic Matrix Composite Reinforced by Three-dimensional Silicon Carbide Nanowire Network

Journal of Inorganic Materials ◽

10.15541/jim20210224 ◽

2021 ◽

pp. 224

Author(s):

RUAN Jing ◽

YANG Jinshan ◽

YAN Jingyi ◽

YOU Xiao ◽

WANG Mengmeng ◽

...

Keyword(s):

Silicon Carbide ◽

Matrix Composite ◽

Electromagnetic Interference ◽

Ceramic Matrix Composite ◽

Three Dimensional ◽

Ceramic Matrix ◽

Electromagnetic Interference Shielding ◽

Nanowire Network ◽

Sic Ceramic ◽

Shielding Properties

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ZnO Nanowire Networks as Photoanode Model Systems for Photoelectrochemical Applications

Nanomaterials ◽

10.3390/nano8090693 ◽

2018 ◽

Vol 8 (9) ◽

pp. 693 ◽

Cited By ~ 9

Author(s):

Liana Movsesyan ◽

Albert Maijenburg ◽

Noel Goethals ◽

Wilfried Sigle ◽

Anne Spende ◽

...

Keyword(s):

Anatase Phase ◽

Three Dimensional ◽

Atomic Layer ◽

Model Systems ◽

Zno Nanowire ◽

Chemical Corrosion ◽

Tio2 Nanowire ◽

Nanowire Network ◽

Nanowire Networks ◽

3D Networks

In this work, the fabrication of zinc oxide (ZnO) nanowire networks is presented. By combining ion-track technology, electrochemical deposition, and atomic layer deposition, hierarchical and self-supporting three-dimensional (3D) networks of pure ZnO- and TiO2-coated ZnO nanowires were synthesized. Analysis by means of high-resolution transmission electron microscopy revealed a highly crystalline structure of the electrodeposited ZnO wires and the anatase phase of the TiO2 coating. In photoelectrochemical measurements, the ZnO and ZnO/TiO2 nanowire networks, used as anodes, generated higher photocurrents compared to those produced by their film counterparts. The ZnO/TiO2 nanowire network exhibited the highest photocurrents. However, the protection by the TiO2 coatings against chemical corrosion still needs improvement. The one-dimensionality of the nanowires and the large electrolyte-accessible area make these 3D networks promising photoelectrodes, due to the improved transport properties of photogenerated charge carriers and faster redox reactions at the surface. Moreover, they can find further applications in e.g., sensing, catalytical, and piezoelectric devices.

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Microstructure and Fluctuation-Induced Conductivity Analysis of Bi2Sr2CaCu2O8+δ (Bi-2212) Nanowire Fabrics

Crystals ◽

10.3390/cryst10110986 ◽

2020 ◽

Vol 10 (11) ◽

pp. 986

Author(s):

Michael Rudolf Koblischka ◽

Anjela Koblischka-Veneva ◽

XianLin Zeng ◽

Essia Hannachi ◽

Yassine Slimani

Keyword(s):

Three Dimensional ◽

Short Wave ◽

Superconducting Transition ◽

Fiber Mats ◽

Nanowire Network ◽

Fluctuation Induced Conductivity ◽

The Individual ◽

Nanofiber Mats ◽

Nanowire Networks ◽

First Time

Resistance measurements were performed on Bi2Sr2CaCu2O8+δ (Bi-2212) fabric-like nanowire networks or nanofiber mats in the temperature interval 3 K ≤T≤ 300 K. The nanowire fabrics were prepared by means of electrospinning, and consist of long (up to 100 μm) individual nanowires with a mean diameter of 250 nm. The microstructure of the nanowire network fiber mats and of the individual nanowires was thoroughly characterized by electron microscopy showing that the nanowires can be as thin as a single Bi-2212 grain. The polycrystalline nanowires are found to have a texture in the direction of the original polymer nanowire. The overall structure of the nanofiber mats is characterized by numerous interconnects among the nanowires, which enable current flow across the whole sample. The fluctuation-induced conductivity (excess conductivity) above the superconducting transition temperature, Tc, was analyzed using the Aslamzov-Larkin model. Four distinct fluctuation regimes (short-wave, two-dimensional, three-dimensional and critical fluctuation regimes) could be identified in the Bi-2212 nanowire fabric samples. These regimes in such nanowire network samples are discussed in detail for the first time. Based on this analysis, we determine several superconducting parameters from the resistance data.

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