Abstract:In this work, the thermal properties of a fluoroelastomer enhanced by graphene were systematically investigated. Although graphene oxide (GO) is the most popular and cheapest source for graphene, its chemical and thermal properties were quite different from reduced graphene oxide (RGO). By comparing their influences on the thermal properties of elastomer, the effects from chemical structures and morphologies of graphene were analyzed. As the vulcanization and decomposition determine the properties of the elast… Show more
“…XRD spectra of GO and Ru-rGO are shown in figures 1(a) and (b). Figure 1(a) shows a strong diffraction peak at 10.07° corresponds to the (1 0 0) plane of GO and another broad peak around 22.68° corresponding to (0 0 2) is due to the partially restacked graphite structure [55]. After electron irradiation, it is seen ( figure 1(b) of the lattice for Ru is calculated to be 0.2341 nm and 0.1234 nm corresponding to (0 0 2) and (1 0 3) planes respectively and it is an excellent agreement with the XRD data for the (0 0 2) plane.…”
We report an in situ synthesis of ruthenium-reduced graphene oxide (Ru-rGO) using 6 MeV electron beam assisted radiolytic reduction method and its supercapacitive behavior. X-ray diffraction (XRD), transmission electron microscopy (TEM) and field emission scanning electron microscopy (FESEM) explore Ru nanoparticles of size ~2 nm are decorated on rGO sheets. Raman spectroscopy shows I D /I G ratio increased and formation of bilayer rGO after electron beam irradiation. The defect density in Ru-rGO is increased due to the electron beam irradiation as compared to its counterpart GO. The Ru-rGO based supercapacitor exhibits specific capacitance (128.1 ± 5.59) F g −1 at 10 mV s −1 scan rate. The specific capacitance retention of Ru-rGO is up to 99.4% at 900 cycles while it increases to 130% at 5000 cycles. Discharge curve of the supercapacitor involves three current decay processes viz. activation polarization, ohmic polarization and concentration polarization. The highest energy density of (4.125 ± 0.19) W h kg −1 and power density of 1.44 kW kg −1 are achieved with Ru-rGO supercapacitor. This unique electron beam assisted techniques illustrates a promising method of the fabrication of high performance supercapacitor.
“…XRD spectra of GO and Ru-rGO are shown in figures 1(a) and (b). Figure 1(a) shows a strong diffraction peak at 10.07° corresponds to the (1 0 0) plane of GO and another broad peak around 22.68° corresponding to (0 0 2) is due to the partially restacked graphite structure [55]. After electron irradiation, it is seen ( figure 1(b) of the lattice for Ru is calculated to be 0.2341 nm and 0.1234 nm corresponding to (0 0 2) and (1 0 3) planes respectively and it is an excellent agreement with the XRD data for the (0 0 2) plane.…”
We report an in situ synthesis of ruthenium-reduced graphene oxide (Ru-rGO) using 6 MeV electron beam assisted radiolytic reduction method and its supercapacitive behavior. X-ray diffraction (XRD), transmission electron microscopy (TEM) and field emission scanning electron microscopy (FESEM) explore Ru nanoparticles of size ~2 nm are decorated on rGO sheets. Raman spectroscopy shows I D /I G ratio increased and formation of bilayer rGO after electron beam irradiation. The defect density in Ru-rGO is increased due to the electron beam irradiation as compared to its counterpart GO. The Ru-rGO based supercapacitor exhibits specific capacitance (128.1 ± 5.59) F g −1 at 10 mV s −1 scan rate. The specific capacitance retention of Ru-rGO is up to 99.4% at 900 cycles while it increases to 130% at 5000 cycles. Discharge curve of the supercapacitor involves three current decay processes viz. activation polarization, ohmic polarization and concentration polarization. The highest energy density of (4.125 ± 0.19) W h kg −1 and power density of 1.44 kW kg −1 are achieved with Ru-rGO supercapacitor. This unique electron beam assisted techniques illustrates a promising method of the fabrication of high performance supercapacitor.
“…The G peak is connected to the in-plane stretching tangential mode of sp 2 bonds and was found at 1584 cm −1 . This is because the G band derives from the graphene structure, but the D band bases on defects on graphene [40], which represents that graphite is successfully oxidized which is associated to the FTIR, XPS, and EDAX data. Figure 1(d) exhibits the zeta potential of the GO solution which was around −55 mV, which reveals good distribution of GO in aqueous solution with oxygen-containing groups.…”
Biomimetic hydrogels with triple networks have been developed via in situ polymerization and addition of graphene oxide (GO) nanosheets, which achieve improved toughness and superior fatigue resistance, simultaneously. Compared with pristine calcium alginate/polyacrylamide double network (DN) hydrogels, the integration of a calcium-induced graphene oxide network enhances the crosslinking degree of triple network (TN) hydrogels with improved compressive strength by 172% and toughness by 174%. In addition, cyclic compressive loading-unloading curves depict excellent fatigue resistance because of reversible calcium alginate and calcium-induced GO networks, whereas high strength and toughness of traditional DN gels derive from the first sacrificial network, which leads to inferior fatigue resistance. Toughness of these TN gels was still kept at 110 kJ m−3 at the fifth cycle which is equal to that of articular cartilages. The swelling property of these DN and TN hdyrogels is also systematically explored, which exhibits that GO can reduce the swelling to maintain the mechanical properties of TN gels. The internal fracture mechanisms of these TN hydrogels are studied via swelling tests of precompressed and as-prepared gels. These synergistic effects of the reversible ions crosslinking polymer network and nanofillers open a new platform to design supertough and fatigue-resistant hydrogels. In addition, these TN hydrogels are talented replacements for load-bearing parts, like cartilage due to its high toughness and superior fatigue resistance.
“…Its many highperformance properties have been analysed since it was discovered the first time. Those properties of graphene can be described by the surface conductivity which has been fully studied in the past few years [23][24][25]. In the visible light and infrared areas, the surface conductivity is mainly referred to interband transition; however, the other part of it is the intraband transition which domains THz area.…”
An efficient modulation can be obtained by graphene due to its outstanding light-matter interaction, and many kinds of modulators based on graphene have been studied during the last couple of years. However, there still exist unsolved issues in graphene-based modulators, such as how to make a balance between modulation depth and modulation bandwidth. This work proposes a reflective modulator with relatively highmodulation depth and wide working bandwidth. The proposed modulator has a simple five-layered structure of graphene-silica-graphenesilicon-metal. They use an effective method of finite element method to simulate the performance of this modulator, and obtain a modulation depth of 96% with a low bias voltage of ∼4 V. Furthermore, they calculate the modulation speed by the equivalent circuit method, and obtain the maximum modulation speed of about 25 kHz and a wide broadband of 72 kHz from theoretical analysis. Therefore, this high-performance modulator provides an effective method for terahertz communication devices.
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