2004
DOI: 10.1039/b316459d
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Electrochemical behavior of nanocrystalline tin oxide electrodeposited on a Cu substrate for Li-ion batteries

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Cited by 46 publications
(43 citation statements)
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“…During our experiments, we found that natural cooling instead of fast cooling of autoclave or prolonged reaction time (24 or 48 h) gave rise to some black byproducts besides SnO 2 NSs (see Supporting Information, Figure S9) which were subsequently confirmed to be SnO by XRD (see Supporting Information, Figure S10). From the XRD results, (002) is distinctly the preferential plane, whereas (101) and (110) peaks are rather weak compared to its standard intensities. In our previous work, 96 the surface energies of SnO were calculated by first-principles total energy calculations based on density functional theory (DFT) using the Vienna Abinitio Simulation Package (VASP) code.…”
Section: −87mentioning
confidence: 99%
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“…During our experiments, we found that natural cooling instead of fast cooling of autoclave or prolonged reaction time (24 or 48 h) gave rise to some black byproducts besides SnO 2 NSs (see Supporting Information, Figure S9) which were subsequently confirmed to be SnO by XRD (see Supporting Information, Figure S10). From the XRD results, (002) is distinctly the preferential plane, whereas (101) and (110) peaks are rather weak compared to its standard intensities. In our previous work, 96 the surface energies of SnO were calculated by first-principles total energy calculations based on density functional theory (DFT) using the Vienna Abinitio Simulation Package (VASP) code.…”
Section: −87mentioning
confidence: 99%
“…No other peaks are found in the XRD pattern of sample SA3. It appears that the (110) and (101) peaks are relatively broader than the other peaks, which might be linked with the possibly strained common attachment planes of {110} and {101} in the SnO 2 NSs structure. Earlier assumptions of compressive stress 56−58 must be disregarded as the stress/strain parameter obtained through Williamson−Hall plots is a rootmean-square (rms) value and cannot distinguish between compressive and tensile stress.…”
Section: ■ Introductionmentioning
confidence: 98%
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