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Model Systems on Surfaces

An inference of fundamental importance follows from Eqs. (2.3.9) and (2.3.11) When long axes of nonpolar molecules deviate from the surface-normal direction slightly enough, their azimuthal orientational behavior is accounted for by much the same Hamiltonian as that for a two-dimensional dipole system. Indeed, at sin<9 1 the main nonlocal contribution to Eq. (2.3.9) is provided by a term quadratic in which contains the interaction tensor V 2 (r) of much the same structure as dipole-dipole interaction tensor 2B3 > 0, B4 < 0, only differing in values 2B3 and B4. For dipole-dipole interactions, 2B3 = D = flic (p is the dipole moment) and B4 = -3D, whereas, e.g., purely quadrupole-quadrupole interactions are characterized by 2B3 = 3U, B4 = - SU (see Table 2.2). Evidently, it is for this reason that the dipole model applied to the system CO/NaCl(100), with rather small values 0(6 25°), provided an adequate picture for the ground-state orientational structure.81 A contradiction arose only in the estimation of the temperature Tc of the observed orientational phase transition For the experimental value Tc = 25 K to be reproduced, the dipole moment should have been set n = 1.3D, which is ten times as large as the corresponding value n in a gas phase. Section 2.4 will be devoted to a detailed consideration of orientational states and excitation spectra of a model system on a square lattice described by relations (2.3.9)-(2.3.11). [Pg.31]

In some situations we have performed finite temperature molecular dynamics simulations [50, 51] using the aforementioned model systems. On a simplistic level, molecular dynamics can be viewed as the simulation of the finite temperature motion of a system at the atomic level. This contrasts with the conventional static quantum mechanical simulations which map out the potential energy surface at the zero temperature limit. Although static calculations are extremely important in quantifying the potential energy surface of a reaction, its application can be tedious. We have used ah initio molecular dynamics simulations at elevated temperatures (between 300 K and 800 K) to more efficiently explore the potential energy surface. [Pg.226]

In this Chapter we introduce a stochastic ansatz which can be used to model systems with surface reactions. These systems may include mono-and bimolecular steps, like particle adsorption, desorption, reaction and diffusion. We take advantage of the Markovian behaviour of these systems using master equations for their description. The resulting infinite set of equations is truncated at a certain level in a small lattice region we solve the exact lattice equations and connect their solution to continuous functions which represent the behaviour of the system for large distances from a reference point. The stochastic ansatz is used to model different surface reaction systems, such as the oxidation of CO molecules on a metal (Pt) surface, or the formation of NH3. [Pg.515]

Large adsorbates, such as bi-isonicotinic acid, may bind to a surface at several sites which are sufficiently far apart not to interact strongly in a direct way. This kind of system is by necessity large and complex, and few detailed studies have been reported on such systems. Various structural aspects of bi-isonicotinic acid adsorption on rutile and anatase TiC>2 surfaces have been presented in several recent studies [68, 77, 78]. Bi-isonicotinic acid adsorption on TiC>2 surfaces is not only taken as a problem of direct interest to the photoelectrochemical applications, but also serves as a model system for surface science investigations of phenomena connected to the adsorption of large organic adsorbates on metal oxide surfaces. [Pg.227]

The only way to rationalize the transport data for nanocrystalline ionic materials is to consider the systems separately, from the viewpoint of the level of defects in the crystals and the nature ofthe samples. In the case of lowly defective systems, such as the alkaline earth fluorides, there is good evidence for a conductivity enhancement, and the data can be explained in terms of models based on the space-charge layer. A key experiment here was the observation of enhanced conductivity in very thin alternating Cafb/Bafb layers when measured perpendicular to the layers [298]. This was explained as being due to the space-charge layers overlapping and saturating the layers. However, this observation is difficult to explain in terms of a model based on surface mismatch. [Pg.122]

Flow visualization essentially determines the slip velocity at the wall via particle-tracking software and data capture, and is typically used only for model systems and surfaces (Piau et al., 1995). However, some work on visualization of wall slip in highly filled reactive epoxy-resin moulding compounds has been reported (Manzione and Weld, 1994, Manzione, 1995). [Pg.325]

Figure 2.90 Protocol for Pt electrodeposition on chemically H-terminated n-Si(lll) for model experiments on surface chemistry using the SoLiAS at undulator U49/2 at Bessy ii, recorded in the in-system apparatus shown in Figure 2.27. Three conditions have been analyzed by SRPES deposition under depletion (peak C ), and accumulation (C2)... Figure 2.90 Protocol for Pt electrodeposition on chemically H-terminated n-Si(lll) for model experiments on surface chemistry using the SoLiAS at undulator U49/2 at Bessy ii, recorded in the in-system apparatus shown in Figure 2.27. Three conditions have been analyzed by SRPES deposition under depletion (peak C ), and accumulation (C2)...
In this work, we first sketch the fundamental aspects of chemisorbed SAMs as a tool for building complex molecular systems. Using thiol SAMs as model systems, we first briefly review the self-assembly, surface structure, and stability under different experimental conditions. We also point out the characteristics of SAMs that make them suitable especially for building active micro- and nano-structured molecular systems on surfaces, and stress their limitations resulting from defects, contaminants, and disorders. Finally, we present examples of interfacial architectures drawn from supramolecular and covalent systems to illustrate the potential of SAMs as robust platforms for functional 3D structures on solid substrates. [Pg.2769]

Interest in the stepwise reduction of coordinated CO continues. Further work on determining whether surface methylenes could arise from formyl intermediates has been reported using 0s3(C0)i2 as a model system. On hydride reduction, 033(00)12 yields [OS3 (C0)u (GH0)] which can be converted into [OS3(C0)u(U-CH2)] by protonation. The methylene complex eliminates CHi, on heating in H2 gas, and forms [033112(00)9(113-000)] in the absence of H2. The first stable neutral formyl complex of a 3d-transltion metal has been claimed. Reduction of trans-[Mn(C0) 1,(P(0R) 3 2 ] or mer-[Mn(C0) 3(P(0R) 3 3 ] yields [Mn(CO)3(OHO)(P(0R)3 2], and the crystal structure of the complex with R = Ph was determined. Other reports on the reduction of Or-, Mo- or Fe-coordinated 00 are referenced below. ... [Pg.149]

The ability of RS molecules to form self-assembling layers at the interfaces was evaluated by means of surface tension measurements of model systems. The surface tension values determined as a function of the RS concentration at the interface of chloroform-water and dodecane-water are shown in Fig. 2. The significant decrease with increasing RS concentration suggests a surface-active character based on the molecular structure of the interfacial additive. [Pg.191]

An important step in tire progress of colloid science was tire development of monodisperse polymer latex suspensions in tire 1950s. These are prepared by emulsion polymerization, which is nowadays also carried out industrially on a large scale for many different polymers. Perhaps tire best-studied colloidal model system is tliat of polystyrene (PS) latex [9]. This is prepared with a hydrophilic group (such as sulphate) at tire end of each molecule. In water tliis produces well defined spheres witli a number of end groups at tire surface, which (partly) ionize to... [Pg.2669]


See other pages where Model Systems on Surfaces is mentioned: [Pg.156]    [Pg.163]    [Pg.156]    [Pg.163]    [Pg.310]    [Pg.155]    [Pg.336]    [Pg.63]    [Pg.160]    [Pg.131]    [Pg.954]    [Pg.143]    [Pg.131]    [Pg.304]    [Pg.393]    [Pg.146]    [Pg.10]    [Pg.26]    [Pg.5]    [Pg.287]    [Pg.225]    [Pg.212]    [Pg.37]    [Pg.607]    [Pg.323]    [Pg.163]    [Pg.241]    [Pg.547]    [Pg.634]    [Pg.915]    [Pg.1704]    [Pg.1944]    [Pg.44]    [Pg.98]    [Pg.294]   
See also in sourсe #XX -- [ Pg.626 , Pg.627 , Pg.628 , Pg.629 , Pg.630 , Pg.631 ]




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