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Silicon atomic volume

The polycrystaUine EGS is converted to siagle-crystal silicon via the C2okralski (CZ) crystal growing process, based on the solidification of silicon atoms from the Hquid phase at a moving iaterface. Volume production of 200-mm diameter crystals is standard. Development of crystals having diameters of up to 400 mm has been predicted (3). [Pg.346]

The volume per silicon atom in crystalline silicon can be measured spectroscopically. There are eight atoms in the unit cell, which is a cube with side length 543.10196 pm. The density of crystalline silicon is 2.3291 g mL-1. The atomic weight of naturally occurring silicon is 28.086 g mol-1. Show how these numbers can be combined to give Avogadro s number. [Pg.15]

In order to describe the reactions of waterproofing materials with alkyl-hydridesiloxanes, let us consider the interaction of the =Si-H bond with different functional groups. If a negative ligand is introduced, the silicon atom with its larger volume receives a positive charge due to polarisation,... [Pg.234]

From Tg dependence on dimethylsiloxane unit length, indicates that the increase of Tg of copolymers with the number of phenyl groups and volume of cyclic fragment. Partial substitution of methyl groups at silicon atom in silsesquioxane fragment by phenyl ones will increase Tg by 10°C. Similar dependence was detected for all copolymers with cyclic fragments in dimethylsiloxane backbone. [Pg.232]

Etch rate of metal-free polymers was reported to be inversely proportional to the carbon atom content in the polymer (. For organosilicon polymers, role of silicon atoms under O2-IBE is discussed as an analogy of that for the carbon atoms in carbonacious polymers. The number of silicon atoms in a unit volume is given by... [Pg.361]

This number of moles was then multiplied by the number of silicon atoms in the molecular formula to give moles of silica in this volume. In that flux to and from the mineral surface is calculated in terms of moles silica per cm per second, when the number of moles of silica per layer is divided by the cumulative flux, the apparent number of layers removed or extracted of silica results. [Pg.422]

The fact that Na is the ratio of the molar volume to the atomic volume of any element provides a route to measuring its value, and several methods have been nsed to determine this ratio. A new method to refine the valne cnrrently is under development. Nearly perfectly smooth spheres of highly crystalline silicon (Si) can be prepared and characterized. The surface roughness of these spheres (which affects the determination of their volume) is 1 silicon atom. The molar volnme is determined by carefnlly measnring the mass and volume of the sphere, and the atomic volume is determined by measuring the interatomic distances directly nsing x-ray diffraction. (X-ray diffraction from solids is described in Chapter 21.) Avogadro s nnmber is the ratio of these two quantities. [Pg.32]

The following formalism comes from the work of Grove [9]. Figure 10.1 is a schematic view of the gas flows during the epitaxial growth. Gc is the concentration of silicon in the volume of the gas chamber that depends on the partial pressure of gas precursor and Cs is the concentration of silicon atoms at the interface between gas and crystal. [Pg.163]

The growth rate can be written, according to N, as the number of silicon atoms per unit volume in the crystal that is equal to 5 x 1022 cm-3 and v = This leads to ... [Pg.163]

According to N2 adsorption, the microporous character of the modified zeolites was largely retained and these samples did not possess any appreciable mesopore volume (Table 1). This finding was in agreement with their unaffected crystallinity. By contrast, the values of surface area and pore volume for the sample with a dealumination level of 64% were severely affected, probably due to the collapse of the crystalline structure and to the blockage of the zeolite pore system to a very large extent [15]. As mentioned above, the structure collapse was also revealed by XRD analysis. On the other hand, it is seen from Table 1 that as the framework Si/Al ratio increased the unit cell size of AHFS-treated samples significantly contracted due to the smaller size of silicon atoms [16]. [Pg.467]

Figure 12.7 Compiiier. sinnilaiions of coalescence times for particles composed of varying numbers of silicon atoms. The dotted lines connecuhe molecular dynamic compulations based on the approach of the moment of inertia of two coalescing particles in contact to the value for the sphere of (he same volume. The solid lines show calculations ba.scd on the phenomenological theories, (12.3) and (12.6). Values calculated from (12.6) (for the liquid) were multiplied by a factor of 10 on the grounds that viscosity values fur bull silicon are (oo smalt for nanoparticles. (After Zachariah and Carrier. 1099.)... Figure 12.7 Compiiier. sinnilaiions of coalescence times for particles composed of varying numbers of silicon atoms. The dotted lines connecuhe molecular dynamic compulations based on the approach of the moment of inertia of two coalescing particles in contact to the value for the sphere of (he same volume. The solid lines show calculations ba.scd on the phenomenological theories, (12.3) and (12.6). Values calculated from (12.6) (for the liquid) were multiplied by a factor of 10 on the grounds that viscosity values fur bull silicon are (oo smalt for nanoparticles. (After Zachariah and Carrier. 1099.)...
Ngj, N(. .) and Ngr denote the numbers of silicon atoms, sulfur atoms in the lowest (divalent) oxidation state, and bromine atoms, respectively. The contribution of silicon atoms to Vw was estimated by using an "internal consistency" condition between the key correlations, namely by requiring that the value of Vw calculated by using equations 3.10 and 3.11, when inserted into the equations for the molar volume, should provide reasonable agreement with the observed densities [17] of silicon-containing polymers. [Pg.107]

As with most of the new correlations developed in this book, the objective of developing Equation 7.17 was to transcend the intrinsic limitations of the predictive capabilities of group contribution techniques, which were discussed in Chapter 1. Examples of the predictive use of Equation 7.17 are given in Table 7.5, where this equation is combined with equations 3.10 and 3.11 for the van der Waals volume, and with equations 3.13 and 3.14 for the molar volume at room temperature, to provide a mutually consistent set of predictions of the y of ten polymers at room temperature. No values were available for the contributions of silicon atoms and sulfone groups to P in the group contribution tables [3,4] which provide the best values of P for polymers. The ten P values calculated by using Equation 7.17 and listed in Table 7.5 could therefore not have been estimated from group contribution tables for the P of polymers. [Pg.319]

Silicon has a diamond cubic lattice structure with an atomic density of 5 x 1022 atoms cnT3, an atomic weight of 28.09 and a density of 2.33 g cnT3 (a) What are silicon s lattice parameter and atomic volume, 2V1... [Pg.10]


See other pages where Silicon atomic volume is mentioned: [Pg.10]    [Pg.50]    [Pg.310]    [Pg.612]    [Pg.350]    [Pg.84]    [Pg.537]    [Pg.80]    [Pg.208]    [Pg.678]    [Pg.351]    [Pg.174]    [Pg.522]    [Pg.527]    [Pg.46]    [Pg.92]    [Pg.263]    [Pg.3]    [Pg.169]    [Pg.285]    [Pg.425]    [Pg.25]    [Pg.37]    [Pg.275]    [Pg.72]    [Pg.506]    [Pg.390]    [Pg.72]    [Pg.3]    [Pg.3]    [Pg.399]    [Pg.191]    [Pg.172]    [Pg.297]    [Pg.519]    [Pg.145]   
See also in sourсe #XX -- [ Pg.276 ]




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