Coupled, Simultaneous Displacement and Dealloying Reactions into Fe–Ni–Co Nanowires for Thinning Nanowire Segments

Geng, Xiwen; Podlaha, E. J.

doi:10.1021/acs.nanolett.6b03065

Cited by 17 publications

(19 citation statements)

References 27 publications

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“…In a narrow pH range in a citrate-boric acid solution, the copper layer can be selectively etched resulting in a gapped wire. Similarly, Geng and Podlaha [114] continued this work. Their new method included the formation of Fe-Ni-Co nanowire segments, followed by a copper etching.…”

Section: Ternary Alloy Nanowiresmentioning

confidence: 67%

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Electrodeposition of Iron-Group Alloys into Nanostructured Oxide Membranes: Synthetic Challenges and Properties

Cesiulis

Tsytsaru

Podlaha

et al. 2018

CNANO

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Background: Quasi-one dimensional nanostructures: nanowires, nanotubes, nanorods, nanobelts/nanoribbons and complex "nanowire-nanoparticle" composites have been synthesized over the years. These nanostructures are particularly appealing due to their specific properties defined by their high aspect ratio: two dimensions are in the nanoscale range and one dimension is in the microscale. Methods:One of the well-designed approaches for the synthesis of such nanostructured materials is template-assisted fabrication combined with electrodeposition. The fabrication approaches for the growth of iron-group alloy nanostructures inside nanoporous oxide membranes by means of different electrodeposition techniques, and the resulting unique properties and potential applications of this type of materials are reviewed. Results:Arrays of nanostructures can be obtained by filling a porous oxide template that contains a large number of straight cylindrical, nano-sized diameter holes. Generalities of metals electrodeposition into nanoporous oxide membranes are discussed. Measures to minimize the nonuniformity of deposits inside pores need to be addressed to thin the barrier layer, to control hydrogen evolution and to improve mass transport inside the pores. Examples of binary and ternary iron group alloys grown inside nanoporous oxide templates are provided. Catalytic hydrogen evolution and methanol oxidation on the nanowires arrays are described. The "sample size effect" on the magnetic properties of materials and the electrodeposition of multilayered structures necessary for giant magnetoresistance (GMR) are discussed in details. Conclusion:Electrodeposition of binary and ternary iron-group alloys confirm that controlling alloy composition inside nanopores is still a challenge. composites [7] have been synthesized over the years. These nanostructures are particularly appealing due to their specific properties defined by their high aspect ratio: two dimensions are in the nanoscale range and one dimension is in the microscale. One of the well-designed approaches for the synthesis of such nanostructured materials is template-assisted fabrication combined with electrodeposition, first reported by Possin [8] in track etched mica films, and expanded upon by others with different materials and templates [2,[9][10][11][12][13][14]. However, the self-organized porous anodic aluminum oxide (AAO) membrane has become one of the most often used templates for tunable synthesis of different nanostructured materials [15,16].

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Section: Ternary Alloy Nanowiresmentioning

confidence: 67%

“…There are few reports of Fe-Ni-Co alloys [113][114][115]. A closely related system with a small amount of copper, Fe-Co-Ni-Cu, was fabricated by Huang et al [113] by electrodeposition into commercial AAO templates.…”

Section: Ternary Alloy Nanowiresmentioning

confidence: 99%

Electrodeposition of Iron-Group Alloys into Nanostructured Oxide Membranes: Synthetic Challenges and Properties

Cesiulis

Tsytsaru

Podlaha

et al. 2018

CNANO

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“…Cleaning is usually done by using deionized water, which could passivate the already electrodeposited layer and make nucleation difficult for the next layer. Additionally, because the displacement reaction occurs and during the deposition of, for instance, an Fe-Cu or Co-Cu multilayer, the more noble metal Cu can displace the already deposited Fe or Co layer [90].…”

Section: Electrodeposition and Structure Of Multi-segmented Nws Inmentioning

confidence: 99%

Multi-Segmented Nanowires: A High Tech Bright Future

Wang

Mukhtar

et al. 2019

Materials

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In the last couple of decades, there has been a lot of progress in the synthesis methods of nano-structural materials, but still the field has a large number of puzzles to solve. Metal nanowires (NWs) and their alloys represent a sub category of the 1-D nano-materials and there is a large effort to study the microstructural, physical and chemical properties to use them for further industrial applications. Due to technical limitations of single component NWs, the hetero-structured materials gained attention recently. Among them, multi-segmented NWs are more diverse in applications, consisting of two or more segments that can perform multiple function at a time, which confer their unique properties. Recent advancement in characterization techniques has opened up new opportunities for understanding the physical properties of multi-segmented structures of 1-D nanomaterials. Since the multi-segmented NWs needs a reliable response from an external filed, numerous studies have been done on the synthesis of multi-segmented NWs to precisely control the physical properties of multi-segmented NWs. This paper highlights the electrochemical synthesis and physical properties of multi-segmented NWs, with a focus on the mechanical and magnetic properties by explaining the shape, microstructure, and composition of NWs.

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“…Copyright 2008, American Chemical Society. L) Schematic of the etching time effect on penetration length . M) TEM images of nanowires after dipping them into a copper‐citrate electrolyte and subsequently etching them in boric acid‐citrate electrolyte for 1, 3, and 5 min.…”

Section: Technology For Electrode Fabricationmentioning

confidence: 99%

Nanotechnology and Nanomaterials for Improving Neural Interfaces

Wang

Shi

et al. 2017

Adv Funct Materials

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A successful biomaterial–neural tissue interface should demonstrate biocompatibility, cytocompatibility, the ability to integrate properly within neural tissues, and the prolonged maintenance of desired electrical properties. Neural electrodes implanted in vivo often experience degradation of these properties due to implant micromotion, mechanical mismatch, an extensive foreign‐body response, and the formation of glial scar tissue that interfere with signal transmission. However, recent advances in nanotechnology and nanomaterials show great promise to address these problems due to their biologically inspired surface features and enhanced electrical properties. This review will discuss how nanomaterials and nanotechnology are being used to fabricate advanced neural electrodes that demonstrate greater bio‐integration properties, enhanced prolonged electrical properties, and an improved signal specificity down to the single molecule range. First, an overview of current biomaterial–neural tissue interface technology is provided, followed by an examination of conventional and newly developed micro‐ and nano‐fabrication methodologies. Nanomaterials that have shown the most promise for neural interfacial applications are then discussed, including carbon nanomaterials, conductive polymers, and hybrid nanomaterials. The purpose of this review is to describe recent advances in nanotechnology for improved biomaterial–neural tissue interfaces, and identify their advantages and disadvantages from a researcher's perspective.

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Coupled, Simultaneous Displacement and Dealloying Reactions into Fe–Ni–Co Nanowires for Thinning Nanowire Segments

Cited by 17 publications

References 27 publications

Electrodeposition of Iron-Group Alloys into Nanostructured Oxide Membranes: Synthetic Challenges and Properties

Electrodeposition of Iron-Group Alloys into Nanostructured Oxide Membranes: Synthetic Challenges and Properties

Multi-Segmented Nanowires: A High Tech Bright Future

Nanotechnology and Nanomaterials for Improving Neural Interfaces

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