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Mapping of models

Erom the previous sections it is clear that there are a number of different possible models that can be applied to the contact of an elastic sphere and a flat surface. Depending on the scale of the objects, their elasticity and the load to which they are subjected, one particular model can be more suitably applied than the others. The evaluation of the combination of relevant parameters can be made via two nondimensional coordinates X and P [16]. The former can be interpreted as the ratio of elastic deformation resulting from adhesion to the effective range of the surface forces. The second parameter, P, is the load parameter and corresponds to the ratio of the applied load to the adhesive puU-off force. An adhesion map of model zones can be seen in Figure 2. [Pg.21]

Fig. 5.10.4 Wafer maps of model parameters encapsulated pressure inside vacuum-sealed prepackages of rotating disc gyros (left) thickness (Epi d) of the polysilicon rotor (right)... Fig. 5.10.4 Wafer maps of model parameters encapsulated pressure inside vacuum-sealed prepackages of rotating disc gyros (left) thickness (Epi d) of the polysilicon rotor (right)...
Figure 33 Integrating Map of Models Based on Model-Driven Approach. (From Aguiar and Weston 1995)... Figure 33 Integrating Map of Models Based on Model-Driven Approach. (From Aguiar and Weston 1995)...
The sketch map of finding the rotation in molecular replacement. The target structure is unknown and a similar model structure is known. By rotating the Patterson map of model structure and calculating the overlap of the two Patterson maps, the rotation function is defined. The max-imums of the rotation function yield the orientation of the target molecules in the crystals. [Pg.219]

Nicholson, R., S. Zhou, G. Hinds, A. J. Wain, and A. Turnbull. 2009. Electrocatalytic activity mapping of model fuel cell catalyst films using scanning electrochemical microscopy. Electrochim. Acta 54 4525-4533. [Pg.651]

The projection model (equations 1, 2) describes the mapping of 3D points = m,yw,2wY to 2D image points Pi = (ii,j/i) in a virtual, undistorted image plane. The... [Pg.485]

The distortion model (equations 3) describes the mapping of virtual, undistorted image points Pi = xi,yiY to distorted image points P = (i , y Y the real image using third order (2-dimensional) polynomals. [Pg.486]

These types of measurements, eombined with theoretieal modelling, ean provide a detailed mieroseopie map of the loeal reaetivity of the surfaee as well as eleetron tiumelling rates within the surfaee unit eell. This infomiation is of enieial importanee for the understanding of various impurity-mdueed promotion and... [Pg.1822]

FIGURE 1 6 Molecular models of methane (CH4) (a) Framework (tube) models show the bonds connecting the atoms but not the atoms themselves (b) Ball and stick (ball and spoke) models show the atoms as balls and the bonds as rods (c) Space filling models portray overall molecular size the radius of each sphere approximates the van der Waals radius of the atom (d) An electrostatic potential map of methane... [Pg.28]

Examine the electrostatic potential map of H3B THE (borane-tetrahydrofuran complex) on Learning By Modeling How does the electrostatic potential of the hydrogens bonded to boron dif fer from the potential of the hydrogens of the tetrahydrofuran ring" ... [Pg.280]

An sp hybridization model for the carbon-carbon triple bond was developed in Section 2 21 and is reviewed for acetylene in Figure 9 2 Figure 9 3 compares the electrostatic potential maps of ethylene and acetylene and shows how the second tr bond m acetylene causes a band of high electron density to encircle the molecule... [Pg.366]

FIGURE 113 (a) The framework of bonds shown in the tube model of benzene are cr bonds (b) Each carbon is sp hybridized and has a 2p orbital perpendicular to the cr framework Overlap of the 2p orbitals generates a tt system encompass mg the entire ring (c) Electrostatic potential map of benzene The red area in the center corresponds to the region above and below the plane of the ring where the tt electrons are concentrated... [Pg.430]

The electrostatic po tential map of pyri 5 dine on/.earn/ng Sy Modeling clearly shows its decreased tt electron density... [Pg.507]

The first page of this chapter displayed an electrostatic poten tial map of ferrocene You may wish to view a molecular model of it on Learning By Modeling... [Pg.609]

Examine the electro r static potential map of butanoic acid on t Learning By Modeling and notice how much more in tense the blue color (positive charge) is on the OH hydro gen than on the hydrogens bonded to carbon... [Pg.794]

FIGURE 19 3 The free energies of ionization of ethanol and acetic acid in water The electrostatic po tential maps of ethoxide and acetate ion show the concentration of negative charge in ethoxide versus dispersal of charge in ac etate The color ranges are equal in both models to al low direct comparison... [Pg.796]

Compare the electro r-static potential maps of sodium lauryl sul 5 fate and sodium stearate on Learning By Modeling... [Pg.800]

Learning By Model ing contains electro static potential maps of all the amino acids in this table... [Pg.1111]

The three-dimensional structure of protein molecules can be experimentally determined by two different methods, x-ray crystallography and NMR. The interaction of x-rays with electrons in molecules arranged in a crystal is used to obtain an electron-density map of the molecule, which can be interpreted in terms of an atomic model. Recent technical advances, such as powerful computers including graphics work stations, electronic area detectors, and... [Pg.391]

Presents model output as dispersion plume overlaid on a map of the area. [Pg.274]

As useful as molecular models are, they are limited in that they only show the location of the atoms and the space they occupy. Another important dimension to molecular structure is its electron distribution. We introduced electrostatic potential maps in Section 1.5 as a way of illustrating charge distribution and will continue to use them throughout the text. Figure 1.6(d) shows the electrostatic potential map of methane. Its overall shape is similar to the volume occupied by the space-filling model. The most electron-rich regions are closer to carbon and the most electron-poor ones are closer to the hydrogens. [Pg.28]

See Learning By Modeling for an electrostatic poten-tial map of benzyl cation. [Pg.445]


See other pages where Mapping of models is mentioned: [Pg.488]    [Pg.2982]    [Pg.163]    [Pg.275]    [Pg.28]    [Pg.369]    [Pg.525]    [Pg.622]    [Pg.669]    [Pg.1182]    [Pg.1268]    [Pg.167]    [Pg.357]    [Pg.388]    [Pg.438]    [Pg.189]    [Pg.386]    [Pg.212]    [Pg.813]    [Pg.818]    [Pg.348]    [Pg.107]    [Pg.369]   
See also in sourсe #XX -- [ Pg.19 , Pg.22 , Pg.23 , Pg.27 , Pg.213 , Pg.221 , Pg.345 , Pg.348 , Pg.351 , Pg.352 , Pg.489 , Pg.529 , Pg.562 ]




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