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Sampling structures

Figure 5 Optimization of the objective function in Modeller. Optimization of the objective function (curve) starts with a random or distorted model structure. The iteration number is indicated below each sample structure. The first approximately 2000 iterations coiTespond to the variable target function method [82] relying on the conjugate gradients technique. This approach first satisfies sequentially local restraints, then slowly introduces longer range restraints until the complete objective function IS optimized. In the remaining 4750 iterations, molecular dynamics with simulated annealing is used to refine the model [83]. CPU time needed to generate one model is about 2 mm for a 250 residue protein on a medium-sized workstation. Figure 5 Optimization of the objective function in Modeller. Optimization of the objective function (curve) starts with a random or distorted model structure. The iteration number is indicated below each sample structure. The first approximately 2000 iterations coiTespond to the variable target function method [82] relying on the conjugate gradients technique. This approach first satisfies sequentially local restraints, then slowly introduces longer range restraints until the complete objective function IS optimized. In the remaining 4750 iterations, molecular dynamics with simulated annealing is used to refine the model [83]. CPU time needed to generate one model is about 2 mm for a 250 residue protein on a medium-sized workstation.
SIMS, and SNMS in rare cases, such as for HgCdJTei samples or some polymers, the sample structure can be modified by the incident ion beam. These effects can often be eliminated or minimized by limitii the total number of particles incident on the sample, increasing the analytical area, or by cooling the sample. Also, if channeling of the ion beam occurs in a crystal sample, this must be included in the data analysis or serious inaccuracies can result. To avoid unwanted channelii, samples are often manipulated during the analysis to present an average or random crystal orientation. [Pg.484]

Spectroscopic dlipsometry is sensitive to the dielectric functions of the different materials used in a layer stack. But it is not a compositional analytical technique. Combination with one of the compositional techniques, e. g. AES or XPS and with XTEM, to furnish information about the vertical structure, can provide valuable additional information enabling creation of a suitable optical model for an unknown complex sample structure. [Pg.267]

S/D (Single/Double bonds) query bond features added if tautomers can be built from sample structure. [Pg.104]

Figure 8. Structural layer after sacrificial layer etching (a) on the substrate (b) above the edge of a cleaved sample. Structure is 500 wide and attachment points 500 /um away. Figure 8. Structural layer after sacrificial layer etching (a) on the substrate (b) above the edge of a cleaved sample. Structure is 500 wide and attachment points 500 /um away.
Limitations of the experiment at low frequencies come from the long experimental times, during which the sample structure may change so much that the entire experiment becomes meaningless. At high frequencies, limitations... [Pg.210]

A focused XFEL beam is not only probing the samples structure - it is as well able to excite the material - ultimately causing melting, ablation or even carbonization within picoseconds. [Pg.63]

Prepared catalyst sample Structure (XRD, IR,TEM) BET surface area, m2/g... [Pg.268]

N and 0, in solid material. The second point is that EXELFS is especially suitable for the study of inhomogeneous samples (structurally and compositionally heterogeneous in the sense discussed in section 2.2 above) because the primary electron beam can be focussed to a diameter of ca 20. Other advantages of EXELFS have been discussed elsewhere (60, 61). The limitations of the technique include (i) the need to select an optimal thickness of sample so as to minimize multiple scattering and (ii) the susceptibility of the samples to suffer radiation damage. [Pg.448]

Figure 16 (Street et al., 1986) shows the typical sample structure, consisting of three layers of a-Si H. Results using this technique have been reported for samples grown by the rf glow discharge of silane and by rf sputtering (Shinar et al., 1989). The first layer is hydrogenated amorphous silicon, deposited under conditions that yield high quality films (i.e., deposition temperature of 230°C, low growth rate) and is typically two microns thick. Next a layer of approximately 1000 A is deposited, whereby... Figure 16 (Street et al., 1986) shows the typical sample structure, consisting of three layers of a-Si H. Results using this technique have been reported for samples grown by the rf glow discharge of silane and by rf sputtering (Shinar et al., 1989). The first layer is hydrogenated amorphous silicon, deposited under conditions that yield high quality films (i.e., deposition temperature of 230°C, low growth rate) and is typically two microns thick. Next a layer of approximately 1000 A is deposited, whereby...
Fig. 16. Deuterium concentration profiles obtained by SIMS from which diffusion coefficients are obtained. The initial deuterated layer is indicated by the vertical lines the broken lines show error-function fits to the concentration profiles. The samples structure is indicated in the inset (Street et al., 1987b). [Pg.423]

So far, CG approaches offer the most viable route to the molecular modeling of self-organization phenomena in hydrated ionomer membranes. Admittedly, the coarse-grained treatment implies simplifications in structural representation and in interactions, which can be systematically improved with advanced force-matching procedures however, it allows simulating systems with sufficient size and sufficient statishcal sampling. Structural correlations, thermodynamic properties, and transport parameters can be studied. [Pg.367]

With fairly few exceptions, all discussion of computed molecular properties up to this point has proceeded under the assumption that the value computed for the stationary equilibrium structure is relevant in comparison to experiment. However, the experimental population is in constant vibrational motion, even at 0 K, so the experimental measurement actually samples structures having a distribution dictated by the molecular vibrational wave function. Thus, for some property A, the measured value is the expectation value given by... [Pg.342]

The silicon precursor and N, N-dimethyldodecylamine oxide exhibit different electronic properties under different pH conditions, thus the driving forces and the corresponding sample structure may be different in various pH values. We performed the synthesis process at pH<0, pH=2, pH=7, and pH>10, respectively. The silicon precursor did not condense when pH<0. Figure 2 illustrates the Figure 1. TEM image of calcined LZC... [Pg.25]

Expressible moisture Ability of a protein to retain water upon application of an external force, e.g., centrifugation or pressure, under specified conditions Expressible moisture content (%) = (wt. water released/inilial sample wl.) x 100 Advantages Tests are simple to perform. Disadvantages Sample structure may be destroyed or deformed by the applied force leading to results that do not correlate with a real food system. Kocher and Foegeding (1993) Jaurequi et al. (1981) Lee and Patel (1984)... [Pg.295]


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See also in sourсe #XX -- [ Pg.255 ]




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Disordered phases, structural sample preparation

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Film sample structure

Molecular structures of samples

Monte Carlo simulation sampling structure selection

Polymers structure complexity sample sizes

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Results for structural foam samples

Sample preparation surface structure

Sample structure

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Scattering Intensity and Sample Structure

Structural sampling methods

Structurally correct sampling

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Surfactant structures, sample

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