Binding energy, vapor pressure, and melting point of semiconductor nanoparticles

Farrell, H. H.; Siclen, Clinton DeW. Van

doi:10.1116/1.2748415

Cited by 56 publications

(51 citation statements)

References 16 publications

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“…For 18 nm particles, the temperature required to reduce the concentration to 2% of the baseline was about 200°C lower than 350°C, indicating that the smaller particles were vaporized much more easily than the larger ones. The results indicate that a large fraction of the small particles probably contained condensable species on a solid core or were in the liquid droplet state as previously reported (Farrell and Van Siclen 2007).…”

Section: Thermal Evolution Of Diesel Engine Particles Under Cdc Operasupporting

confidence: 70%

Classification of Volatile Engine Particles

Cheng

2013

Aerosol Air Qual. Res.

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Volatile particles cannot be detected at the engine exhaust by an aerosol detector, as they are formed when the exhaust is mixed downstream with the ambient air. The lack of a precise definition of volatile engine particles has been an impediment to engine manufacturers and regulatory agencies involved in the development of effective control strategies. Volatile particles from combustion sources contribute to the atmospheric particulate burden, and this is a critical issue in ongoing research in the areas of air quality and climate change. A new instrument, called a volatile particle separator (VPS), is developed in this work. It utilizes a proprietary microporous metallic membrane to separate particles from vapors. VPS data are used in the development of a two-parameter function to quantitatively classify, for the first time, the volatilization behavior of engine particles. The value of parameter "A" describes the volatilization potential of an aerosol. A nonvolatile particle has a larger A-value than a volatile one. The value of parameter "k," an effective evaporation energy barrier, is found to be much smaller for small engine particles than for large engine ones. The VPS instrument is not simply a volatile particle remover, as it makes possible the characterization of volatile engine particles in numerical terms.

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Section: Thermal Evolution Of Diesel Engine Particles Under Cdc Operasupporting

confidence: 70%

Classification of Volatile Engine Particles

Cheng

2013

Aerosol Air Qual. Res.

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“…However, the formation of similar covalent bonded clusters presenting fully coherent interfaces ͑i.e., without dangling bonds͒ with the silica matrix can result into a system with very low interface energy. On the basis of thermodynamic models, 13,21 the melting temperature T m of NPs varies with respect to the corresponding bulk value T b as a function of their radius r as…”

Section: Discussionmentioning

confidence: 99%

Aging effects on the nucleation of Pb nanoparticles in silica

Luce

Kremer

Reboh

et al. 2011

Journal of Applied Physics

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The ion beam synthesis of Pb nanoparticles (NPs) in silica is studied in terms of a two step thermal annealing process consisting of a low temperature long time aging treatment followed by a high temperature short time one. The samples are investigated by Rutherford backscattering spectrometry and transmission electron microscopy. The results obtained show that highly stable Pb trapping structures are formed during the aging treatment. These structures only dissociate at high temperatures, inhibiting the nucleation of NPs in the metallic phase and causing an atomic redistribution that renders the exclusive formation of a two dimensional, uniform and dense array of Pb NPs at the silica–silicon interface. The results are discussed on the basis of classic thermodynamic concepts.

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“…As antecedently observed, this behavior is counterpoint to the linear dependence determined for most metals. 13 The cause for this fluctuation in size dependence on the covalent nature of the bonding in semiconductor materials as well as low aspect-ratio metals. The point on the far left and right in figure 1 are concerned to the bulk material ( n = ∞ ) and single atom-pair ( n = 1).…”

Section: Resultsmentioning

confidence: 99%

“…13 Here we will take d nm is the diameter of nanocrystal than we get the volume of the nano-crystal is…”

Section: Methods Of Computationmentioning

confidence: 99%

“…They also show that a larger fraction of the total number of atoms is on the surface of crystal. Farrell et al 13 have studied that the per atom pair binding (cohesive) energy of small nano-particles and compound semiconductor clusters is a quadratic dependence of the particle diameter. Moreover, the model calculations can now be executed comparatively easily for the determination of many relevant physical properties, especially in the small-scale range where experimental findings are not easy.…”

Section: Introductionmentioning

confidence: 99%

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Dependency of Thermo-Physical Properties on Surface Bonding of Bn Nano-Crystal

Diwan

Swamy

2013

Int. J. Mod. Phys. Conf. Ser.

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In this paper we have studied the variation of normalized per-atom pair cohesive (binding) energy and melting temperature with size and number of atom-pairs in the BN nano-crystal by simple model approach. In small nano-particles, large proportions of their atoms reside either at or near the surface, and those in clusters are basically all on the surface. So, we have to study the surface configuration in detail that leads the constancy of the crystals. Even for bulk materials, parameters that ensure this constancy involving normalized cohesive energy, surface reconstruction, iconicity, bulk structure, hybridization and charge balance, melting point. It is worthwhile to say that many of these factors are quite interdependent. These all factors influence the whole cohesive energy of crystals and give important information about the deflections from inverse size dependence. The per-atom-pair binding energy and melting temperature of BN nano-crystal is a quadratic function of the inverse of the crystal size. The binding energy and melting temperature comes near their bulk value with increasing the crystal size and same as the bulk material when the crystal size is above than 100 nm.

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Binding energy, vapor pressure, and melting point of semiconductor nanoparticles

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Cited by 56 publications

References 16 publications

Classification of Volatile Engine Particles

Classification of Volatile Engine Particles

Aging effects on the nucleation of Pb nanoparticles in silica

Dependency of Thermo-Physical Properties on Surface Bonding of Bn Nano-Crystal

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