Design of lithium cobalt oxide electrodes with high thermal conductivity and electrochemical performance using carbon nanotubes and diamond particles

Lee, Eungje; Salgado, Ruben; Lee, Byeongdu; Sumant, Anirudha V.; Rajh, Tijana; Johnson, Christopher; Balandin, Alexander A.; Shevchenko, Elena V.

doi:10.1016/j.carbon.2017.12.061

Cited by 32 publications

(28 citation statements)

References 66 publications

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“…In these regards, the weak mechanical properties, poor performance stability and low sensitive responses of ECHs are still the crucial problems that need to be solved. Compared with incorporating conducting polymers, metallic nanomaterials, carbon nanoparticals, such as graphene, carbon nanotubes (CNTs) and carbon black are introduced into the traditional gel network and have made some progresses. Meanwhile, hydrogels with conducting carbon nanomaterials perform combined properties like excellent recoverability, strong stretchability, good electroconductivity, as well as biocompatibility.…”

Section: Introductionmentioning

confidence: 99%

Highly Dispersed Graphene Network Achieved by using a Nanoparticle‐Crosslinked Polymer to Create a Sensitive Conductive Sensor

Wang¹,

Li²,

Lu³

et al. 2019

ChemElectroChem

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Electrically conductive hydrogels (ECHs) have attracted significant interest in the past, owing to their potential applications in flexible electronic devices. The incorporation of reduced graphene sheets (GSs) is one effective way to endow hydrogels with electrical conductivity. However, inhomogeneous distribution of GSs in a hydrogel matrix has a side effect on the conductivity for GS-based ECHs. In this work, cement-released calcium hydroxide nanospherulites (CNSs) are innovatively employed to help disperse GSs in a poly-acrylamide (PAM) hydrogel matrix. An excellent ECH with good mechanical performance is achieved by dispersing GSs homogeneously into the PAM hydrogel matrix with the support of CNSs. Raman measurements confirm the vital role of CNSs in dispersing GSs homogeneously into the hydrogel matrix. With a very low GS content of 0.2 wt %, the electrical conductivity of such ECH sample can reach four times than that of reported GS-based conductive hydrogels dispersed by conventional surfactants. Furthermore, the homogeneous distribution of GSs in the hydrogel matrix also promotes energy dissipation in the mechanical property, leading to a high compression stress (214 MPa) and stretching stress (325 KPa) for such ECHs. Owing to its rapid response speed and high stability, this ECH is used as a strain sensor to monitor deformation. In a broader context, this ECH material may have potential applications in smart sensors and wearable devices. remarkable with and the high recoverability of sensor could avoid the residual strain and achieve the instantaneous sensitivity (Figure 7 b).

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Section: Introductionmentioning

confidence: 99%

Highly Dispersed Graphene Network Achieved by using a Nanoparticle‐Crosslinked Polymer to Create a Sensitive Conductive Sensor

Wang¹,

Li²,

Lu³

et al. 2019

ChemElectroChem

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“…where a is thermal diffusivity, tm is transient measurement time, r is radius of the sensor, P is input heating power and D(s) is a Bessel function [8]. The time and the input power are selected so that the heat flow is within the boundaries of the sample and so that the outer boundaries of the sample are not affected by the increase in temperature of the sensor.…”

Section: Hot-disk Methodsmentioning

confidence: 99%

“…Osman et al [22] focused on the relationship between the thermal conductivity and physical parameters of CNT. They calculated the thermal conductivity of several SWCNTs with different structure parameters for the range of temperatures of 100-500 K. In their works, they considered various CNTs of armchair (5,5), (8,8), (10,10), (12,12), (15,15) and zigzag structure (10,0) of the length between 151 and 221 Å , with the number of atoms ranging from 1800 to 5400. The aspect ratio between the length and diameter chosen in all the simulations was between 10 and 20.…”

Section: Thermal Conductivity Molecular Dynamic Simulationmentioning

confidence: 99%

“…It seems impossible to find one material, which could solve this problem, but such material exists: carbon nanotubes (CNTs). Depending on their structure, form and method of synthesis, their thermal conductivity varies significantly, from 6600 W/ mW [6] for individual SWCNTs up to the values that indicate they may even be thermal insulators for MWCNT bundled systems, for which thermal conductivity value is below 0.1 W/mK [7,8]. They have excellent mechanical properties and can be produced from renewable sources.…”

Section: Introductionmentioning

confidence: 99%

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Thermal conductivity of carbon nanotube networks: a review

2019

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Depending on their structure and order (individual, films, bundled, buckypapers, etc.), carbon nanotubes (CNTs) demonstrate different values of thermal conductivity, from the level of thermal insulation with the thermal conductivity of 0.1 W/mK to such high values as 6600 W/mK. This review article concentrates on analyzing the articles on thermal conductivity of CNT networks. It describes various measurement methods, such as the 3-x method, bolometric, steady-state method and their variations, hot-disk method, laser flash analysis, thermoreflectance method and Raman spectroscopy, and summarizes the results obtained using those techniques. The article provides the main factors affecting the value of thermal conductivity, such as CNT density, number of defects in their structure, CNT ordering within arrays, direction of measurement in relation to their length, temperature of measurement and type of CNTs. The practical methods of using CNT networks and the potential directions of future research in that scope were also described.

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“…The latest application of carbon nanotube in Li‐ion battery is becoming a huge commercialization field in the past ten years . The effect of carbon nanotube is mainly to enhance the electrical conductance of cathode materials such as LiFeO 4 , LiNi X Co Y Mn 1‐x‐y O 2 , LiNi X Co Y Al 1‐x‐y O 2 , LiCoO 2 and so on by replacing carbon black . The scientific point is the one‐dimensional bridge of carbon nanotubes built a much effective network linking Li‐ion containing particles, compared to the point‐point contact by using carbon black.…”

Section: The Structural and Scientific Base Of Graphene For The Use Imentioning

confidence: 99%

Perspective to the Potential Use of Graphene in Li‐Ion Battery and Supercapacitor

Tian

Yang

Yin

et al. 2018

The Chemical Record

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Graphene is a hot star in materials science with various potential application aspects, including in Li‐ion battery and supercapacitor. The burst of scientific papers in this area seems to validate the performance of graphene, but also arouses large dispute. Herein, we share our judgment of these trends to all, encouraging the discussion and enhancing the understanding of the structure‐performance relationship of graphene.

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Design of lithium cobalt oxide electrodes with high thermal conductivity and electrochemical performance using carbon nanotubes and diamond particles

Cited by 32 publications

References 66 publications

Highly Dispersed Graphene Network Achieved by using a Nanoparticle‐Crosslinked Polymer to Create a Sensitive Conductive Sensor

Highly Dispersed Graphene Network Achieved by using a Nanoparticle‐Crosslinked Polymer to Create a Sensitive Conductive Sensor

Thermal conductivity of carbon nanotube networks: a review

Perspective to the Potential Use of Graphene in Li‐Ion Battery and Supercapacitor

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