2015
DOI: 10.1016/j.electacta.2015.06.060
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Preparation of re-constructed carbon nanosheet powders and their efficient lithium-ion storage mechanism

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Cited by 13 publications
(16 citation statements)
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“…According to the nitrogen adsorption-desorption isotherms of CNPs shown in Fig. 4c, the total specific surface area of the CNPs was determined to be 113.1 m 2 g -1 , which is far higher than that of graphite powders (1.7-6.0 m 2 g -1 ) and re-CNSs (18.3 m 2 g -1 ) [7,24]. The adsorption and desorption isotherms of CNPs display hysteresis, which is indicative of a mesoporous structure.…”
Section: Preparation and Characterizationmentioning
confidence: 99%
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“…According to the nitrogen adsorption-desorption isotherms of CNPs shown in Fig. 4c, the total specific surface area of the CNPs was determined to be 113.1 m 2 g -1 , which is far higher than that of graphite powders (1.7-6.0 m 2 g -1 ) and re-CNSs (18.3 m 2 g -1 ) [7,24]. The adsorption and desorption isotherms of CNPs display hysteresis, which is indicative of a mesoporous structure.…”
Section: Preparation and Characterizationmentioning
confidence: 99%
“…The oxidized samples were then calcined at 500°C for 2 h under N2 to obtain the reduced CNPs. 7 The morphologies of the CNPs were characterized using scanning electron microscopy (SEM, ZEISS Ultra 55) and transmission electron microscopy (TEM, JEM-2100, Japan). The EDX spectra (ZEISS Ultra 55) were obtained to analyze the elemental composition.…”
Section: Preparation Of the Cnpsmentioning
confidence: 99%
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“…During the negatively scanning, 2 reduction peaks were detected at about 0.6 V and 0 V, corresponding to the formation of SEI film [28][29], and the intercalation of Li + within the inter layers and the defects of RGO nanosheets (such as pores, vacancies and edges), respectively [30][31]. Meanwhile, during the positively scanning, 2 oxidation peaks at about 0.3 V and 1.5 V were also observed, which can be ascribed to the extraction of Li + from RGO nanosheets and the defects (such as pores, vacancies and edges), respectively [31][32][33]. Fig.…”
Section: CVmentioning
confidence: 99%