2017
DOI: 10.1016/j.apsusc.2017.02.086
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Simulation study of temperature-dependent diffusion behaviors of Ag/Ag(001) at low substrate temperature

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Cited by 8 publications
(7 citation statements)
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“…Figure b–d reveals the effects of different reaction temperatures on the morphology of 3D flower-like Ag-CF electrodes. The reaction temperature could significantly affect the surface diffusion rate of the Ag clusters and also produce Ag-CF with different morphologies on the basis of the literature. , In the primary growth, the zigzag-shaped nanoflowers were mainly formed owing to the slow nucleation process under low-temperature conditions, which were composed of fragmented nanosheets, and the low temperature also led to insufficient adhesion (Figure b­(iii)). At a reaction temperature of 50 °C, these nanosheets gathered together, indicating that the directional attachment of the nanosheets could become the core of the Ag nanoflowers, as shown in Figure c­(iii) obtained by high-magnification electron microscopy.…”
Section: Resultsmentioning
confidence: 99%
“…Figure b–d reveals the effects of different reaction temperatures on the morphology of 3D flower-like Ag-CF electrodes. The reaction temperature could significantly affect the surface diffusion rate of the Ag clusters and also produce Ag-CF with different morphologies on the basis of the literature. , In the primary growth, the zigzag-shaped nanoflowers were mainly formed owing to the slow nucleation process under low-temperature conditions, which were composed of fragmented nanosheets, and the low temperature also led to insufficient adhesion (Figure b­(iii)). At a reaction temperature of 50 °C, these nanosheets gathered together, indicating that the directional attachment of the nanosheets could become the core of the Ag nanoflowers, as shown in Figure c­(iii) obtained by high-magnification electron microscopy.…”
Section: Resultsmentioning
confidence: 99%
“…The diffusivity of vacancies can to some extent dictate the stability of the solar cells, which is well correlated with the preparation temperatures. Here, the diffusion temperature ( T ) of defects can be estimated from the calculated Δ E a in Equation (): [ 58–60 ] Γbadbreak=vgoodbreak×exp(badbreak−ΔEaKBT)\[ \begin{array}{*{20}{c}}{\Gamma = v \times \exp \left( { - \frac{{\Delta {E_a}}}{{{K_{\rm{B}}}T}}} \right)}\end{array} \] where Δ E a is the diffusion barrier, and v is attempt frequency (typically 10 13 Hz), K B is the Boltzmann constant (1.38 × 10 –23 J K −1 ), and T is temperature. The numerical value of v is 10 10 Hz.…”
Section: Resultsmentioning
confidence: 99%
“…The diffusivity of vacancies can to some extent dictate the stability of the solar cells, which is well correlated with the preparation temperatures. Here, the diffusion temperature (T) of defects can be estimated from the calculated ΔE a in Equation ( 2): [58][59][60]…”
Section: Inhibiting the Migration Of V I On Cspbi 2 Br (110) Surfacementioning
confidence: 99%
“…[26] But the extremely low growth rate of the film (≈Å s −1 ) limits the long-time atomic simulations by MD. Kinetic Monte Carlo (KMC) method [26][27][28] has been widely adopted in the study of thin film growth because it retains the atomistic detail with an accessible time scale reaching several seconds. However, the off-lattice effect, viz., the dislocated atom motion, is difficult to embed in the commonly used lattice kinetic Monte Carlo (LKMC).…”
Section: Doi: 101002/crat202100214mentioning
confidence: 99%