Open‐Ended, N‐Doped Carbon Nanotube–Graphene Hybrid Nanostructures as High‐Performance Catalyst Support

Lv, Ruitao; Cui, Tongxiang; Jun, Mun Suk; Zhang, Qiang; Cao, Anyuan; Su, Dang Sheng; Zhang, Zhengjun; Yoon, Seong Ho; Miyawaki, Jin; Mochida, Isao; Kang, Feiyu

doi:10.1002/adfm.201001602

Cited by 367 publications

(201 citation statements)

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“…[1,2] The extraordinary properties of this intriguing material have been used to provide advantage in numerous areas including composites, energy storage and conversion, nanoelectronics, sensors, biosensors, as a support for catalysts and transparent conducting films. [1,[3][4][5][6][7][8][9] However, in all of these studies, the performance levels obtained are limited by the ability to translate the properties inherent in graphene nanocomponents into the macroscopic structures needed for practical applications. [4] In this context, the recent discovery of liquid crystalline (LC) behavior of graphene oxide (GO) dispersions in various organic, [8] and aqueous media brings added control to the assembly of larger structures using the chemical process approach.…”

Section: Introductionmentioning

confidence: 99%

Scalable One‐Step Wet‐Spinning of Graphene Fibers and Yarns from Liquid Crystalline Dispersions of Graphene Oxide: Towards Multifunctional Textiles

Jalili

Aboutalebi

Esrafilzadeh

et al. 2013

Adv Funct Materials

387

426

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. (2013). Scalable one-step wet-spinning of graphene fibers and yarns from liquid crystalline dispersions of graphene oxide: towards multifunctional textiles. Advanced Functional Materials, 23 (43), 5345-5354.Scalable one-step wet-spinning of graphene fibers and yarns from liquid crystalline dispersions of graphene oxide: towards multifunctional textiles AbstractKey points in the formation of liquid crystalline (LC) dispersions of graphene oxide (GO) and their processability via wet-spinning to produce long lengths of micrometer-dimensional fibers and yarns are addressed. Based on rheological and polarized optical microscopy investigations, a rational relation between GO sheet size and polydispersity, concentration, liquid crystallinity, and spinnability is proposed, leading to an understanding of lyotropic LC behavior and fiber spinnability. The knowledge gained from the straightforward formulation of LC GO "inks" in a range of processable concentrations enables the spinning of continuous conducting, strong, and robust fibers at concentrations as low as 0.075 wt%, eliminating the need for relatively concentrated spinning dope dispersions. The dilute LC GO dispersion is proven to be suitable for fiber spinning using a number of coagulation strategies, including non-solvent precipitation, dispersion destabilization, ionic cross-linking, and polyelectrolyte complexation. One-step continuous spinning of graphene fibers and yarns is introduced for the first time by in situ spinning of LC GO in basic coagulation baths (i.e., NaOH or KOH), eliminating the need for post-treatment processes. The thermal conductivity of these graphene fibers is found to be much higher than polycrystalline graphite and other types of 3D carbon based materials. New insights are provided into the processing of liquid crystalline graphene oxide (GO) dispersion (containing large GO sheets) demonstrating a facile and scalable production of GO and reduced GO fibers and yarns with exciting properties such as high thermal conductivity. These results provide a universal platform for the development of solution-based processing methods, properties, and applications of liquid crystalline GO-based architectures. AbstractIn the present work, we address key points in the formation of liquid crystalline (LC) dispersions of graphene oxide (GO) and their processability via wet-spinning to produce long lengths of micron dimensional fibers and yarns. Based on rheological and polarized optical microscopy investigations, a rational relation between GO sheet size and polydispersity, concentration, liquid crystallinity and spinnability is proposed leading to the understanding of 2 lyotropic LC behavior and fiber spinnability. The knowledge gained from our straightforward formulation of LC GO "inks" in a range of processable concentrations enabled us to spin continuous conducting, strong and robust fibres at concentrations as low as 0.075 wt. % eliminating the need for relatively concentrated spinning dope dispersions. This concentration is the lowest ever rep...

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Section: Introductionmentioning

confidence: 99%

Scalable One‐Step Wet‐Spinning of Graphene Fibers and Yarns from Liquid Crystalline Dispersions of Graphene Oxide: Towards Multifunctional Textiles

Jalili

Aboutalebi

Esrafilzadeh

et al. 2013

Adv Funct Materials

387

426

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“…Quite recently, fullerene-graphene hybrids have been experimentally produced and theoretically investigated [34][35][36][37][38][39]. In particular, nanotube-graphene hybrid also has great potential application [40][41][42][43][44][45][46][47][48]. Theoretical work suggested that a covalently bonded graphene-nanotube hybrid material would extend those properties to three dimensions, and be useful in energy storage and nanoelectronic technologies [40].…”

Section: Introductionmentioning

confidence: 99%

Molecular dynamics simulation study of a carbon-nanotube oscillator in a graphene-nanoribbon trench

Lee

Kang

Kim

et al. 2016

Journal of the Korean Physical Society

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Graphene/carbon-nanotube (CNT) hybrid material can be useful in energy storage and nanoelectronic technologies. Here we address the CNT-oscillator encapsulated in a graphenenanoribbon (GNR) trench as a novel design, and investigate its properties via classical molecular dynamics simulations. Since the energy barrier was very low while the CNT was encapsulated in the GNR trench, the CNT absorbed on the GNR surface could easily be encapsulated in the GNR trench.MD simulations showed that the CNT oscillator encapsulated in a GNR trench is compatible with simple CNT oscillators, so we anticipate that the CNT in GNR trench could work as an oscillator. So we can anticipate that the CNT encapsulated in a GNR trench can be applied to ultra-sensitive nanoelectromechanical oscillators, and this system has the possibility to be applied to relay-switching devices, and to shuttle memory.

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“…Regarding the improvement of ferroelectric property and layer resistivity, N and B doping is widely adopted in thin films studies [31][32][33][34]. In this section, we consider the hybrid structure with both existences of N-and B-dopants.…”

Section: Hybrid Structures With N-and B-dopantmentioning

confidence: 99%

“…The N-doped graphene is also reported by Wang et al [30] as a good candidate for the application as electrocatalyst fuel cell, field-effect transistor and lithium batteries. Specifically, the Ndoped nanotube-graphene hybrid structure has been envisioned with promising applications in the field of catalysis, gas storage and energy storage [31].…”

Section: Introductionmentioning

confidence: 99%

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Numerical characterization of the mechanical properties of graphene and graphene-based structures

Xia¹

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Graphene and graphene-based structures are appealing and have attracted broad applications owing to their remarkable mechanical, optical-electrical and thermal properties. To unlock the revolutionary characteristics of graphene and graphene-based structures, considerable research has been devoted to probe or modify the properties of graphene and graphene-based structures. However, due to the extremely small dimensions of these materials, the application and manipulation of the in situ experiments involve inherent complexities and huge challenges. Based on the limitations of experiments, numerical simulations have become increasingly important in the area of the characterization of graphene and graphenebased structures.The primary aim of this study is to address this research gap and to numerically characterize the properties of graphene and graphene-base structures. Large-scale molecular dynamics (MD) simulations were carried out to assess the mechanical properties, deformation and failure mechanisms of graphene and graphene-based structures under tensile or impact loading. The target objects include graphene, graphene and carbon nanotube hybrid structure (GNHS), doped GNHS and graphyne heterojunction (HJ).The graphene and carbon nanotube hybrid structure (GNHS) is one of the promising graphene derivatives, while its mechanical properties are rarely discussed in literature.Therefore, the mechanical properties of GNHSs are studied based on large-scale molecular dynamics simulation. The target GNHS is constructed by considering two separate graphene layers that are connected by single-wall carbon nanotubes (SWCNTs), according to the experimental observations. It is found that the GNHSs exhibit much lower yield strength, Young"s modulus, and earlier yielding compared with a bilayer graphene sheet. Fracture of GNHSs is found to initiate at the connecting region between carbon nanotubes (CNTs) and Numerical Characterization of the Mechanical Properties of Graphene and Graphene-based Structures viii graphene. After failure, monatomic chains are normally observed at the front of the failure region, and the two graphene layers at the failure region without connecting CNTs adhere to each other, generating a bilayer graphene sheet scheme (with a layer distance about 3.4 Å). It is also found that by increasing the length of the constituent CNTs, the GNHS exhibits higher Young"s modulus and yield strength. Whereas strong correlation is not found between the number of graphene layers, Young"s modulus and yield strength, greater graphene layer numbers tend to lead to a higher yield strain. In the meanwhile, the presences of multi-wall CNTs are found to greatly strengthen the hybrid structure.Doping is an effective approach that allows for the intrinsic modification to the electrical and chemical properties of nanomaterials. Here, a first-time investigation on the tensile properties of the GNHS with different dopants is carried out. It is found that with the presence of dopants, the hybrid structures usually exhibit lo...

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Open‐Ended, N‐Doped Carbon Nanotube–Graphene Hybrid Nanostructures as High‐Performance Catalyst Support

Cited by 367 publications

References 53 publications

Scalable One‐Step Wet‐Spinning of Graphene Fibers and Yarns from Liquid Crystalline Dispersions of Graphene Oxide: Towards Multifunctional Textiles

Scalable One‐Step Wet‐Spinning of Graphene Fibers and Yarns from Liquid Crystalline Dispersions of Graphene Oxide: Towards Multifunctional Textiles

Molecular dynamics simulation study of a carbon-nanotube oscillator in a graphene-nanoribbon trench

Numerical characterization of the mechanical properties of graphene and graphene-based structures

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