Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Diffusion model, structure effect

Theoretical models available in the literature consider the electron loss, the counter-ion diffusion, or the nucleation process as the rate-limiting steps they follow traditional electrochemical models and avoid any structural treatment of the electrode. Our approach relies on the electro-chemically stimulated conformational relaxation control of the process. Although these conformational movements179 are present at any moment of the oxidation process (as proved by the experimental determination of the volume change or the continuous movements of artificial muscles), in order to be able to quantify them, we need to isolate them from either the electrons transfers, the counter-ion diffusion, or the solvent interchange we need electrochemical experiments in which the kinetics are under conformational relaxation control. Once the electrochemistry of these structural effects is quantified, we can again include the other components of the electrochemical reaction to obtain a complete description of electrochemical oxidation. [Pg.374]

The interpretation of these unconventional conduction properties is still a challenge for condensed matter physicists. Several models have been proposed including thermally activated hopping [10] band structure effects due to small density of states and narrow pseudo-gap [11,12] or anomalous quantum diffusion [13,14]. Yet all these models are difficult to compare in a quantitative way with experiments. [Pg.536]

Historically most of the microscopic diffusion models were formulated for amorphous polymer structures and are based on concepts derived from diffusion in simple liquids. The amorphous polymers can often be regarded with good approximation as homogeneous and isotropic structures. The crystalline regions of the polymers are considered as impenetrable obstacles in the path of the diffusion process and sources of heterogeneous properties for the penetrant polymer system. The effect of crystallites on the mechanism of substance transport and diffusion in a semicrystalline polymer has often been analysed from the point of view of barrier property enhancement in polymer films (35,36). [Pg.127]

In general, for each acid HA, the HA-(H20) -Wm model reaction system (MRS) comprises a HA (H20) core reaction system (CRS), described quantum chemically, embedded in a cluster of Wm classical, polarizable waters of fixed internal structure (effective fragment potentials, EFPs) [27]. The CRS is treated at the Hartree-Fock (HF) level of theory, with the SBK [28] effective core potential basis set complemented by appropriate polarization and diffused functions. The W-waters not only provide solvation at a low computational cost they also prevent the unwanted collapse of the CRS towards structures typical of small gas phase clusters by enforcing natural constraints representative of the H-bonded network of a surface environment. In particular, the structure of the Wm cluster equilibrates to the CRS structure along the whole reaction path, without any constraints on its shape other than those resulting from the fixed internal structure of the W-waters. [Pg.389]

It is natural to conceive that this short-time behavior should be due to some time interval for a trajectory to spend to look for exit ways to the next basins in the complicated structure of phase space. In the next section, we will propose a geometrical view that shows what this complexity is. Hence we consider that the hole of Na- b(t) in the short-time region should be a reflection of chaos, which is just opposite to the behavior arising from nonchaotic direct paths as observed in Hj" dynamics. The present effect is therefore expected to be more significant as the molecular size increases or the potential surface and corresponding phase-space structure become more complicated. Another important aspect of the hole in Na-,b t) is an induction time for a transport of the flow of trajectories in phase space. It is of no doubt that the RRKM theory does not take account of a finite speed for the transport of nonequilibrium phase flow from the mid-area of a basin to the transition states. Berblinger and Schlier [28] removed the contribution from the direct paths and equate the statistical part only to the RRKM rate. One should be able to do the same procedure to factor out the effect of the induction time due to transport. We believe that the transport in phase space is essentially important in a nonequilibrium rate theory and have reported a diffusion model to treat them [29]. [Pg.43]

Following the idea of Yu. Volfkovich, a model of stationary water flows in the membrane with account of porous structure-related aspects and inhomogeneous water distribution was developed [16,83]. This model will be presented in some detail below. Its implications on water-content profiles and current-voltage performance under fuel cell operation conditions will be compared to the effective diffusion models. [Pg.462]

This leads us to the concept called nanocatalysis, and specifically to nanofabricated model catalysts, as an approach to bridge the structure gap. In Fig. 4.4, some examples of planar model structures of increasing complexity are depicted, which fulfill these criteria. At the top, there is a simple array of catalyst particles on an inactive support. The inactive support can be replaced by an active support (second picture from the top), meaning a support that significantly affects the properties of the nanoparticles via particle-support interactions (a clear distinction between inactive and active is not easy or not even possible—there is always some influence of the support on the supported particle). In some cases, the size of the support particle has an influence on the overall catalytic activity. This is, for example, the case when there is a spillover or capture zone for reactants or intermediates, which move by diffusion from the catalyst nanoparticle to the support or vice versa. In order to study such effects, one may want to systematically vary the radius of the... [Pg.273]

Except for the fullerenes, carbon nanotubes, nanohoms, and schwarzites, porous carbons are usually disordered materials, and cannot at present be completely characterized experimentally. Methods such as X-ray and neutron scattering and high-resolution transmission electron microscopy (HRTEM) give partial structural information, but are not yet able to provide a complete description of the atomic structure. Nevertheless, atomistic models of carbons are needed in order to interpret experimental characterization data (adsorption isotherms, heats of adsorption, etc.). They are also a necessary ingredient of any theory or molecular simulation for the prediction of the behavior of adsorbed phases within carbons - including diffusion, adsorption, heat effects, phase transitions, and chemical reactivity. [Pg.103]

The reaction effect is mainly the result of the difference in molal volumes of the product and reactant solids, leading to voidage and therefore diffusivity changes as the reaction progresses. To incorporate these effects in any model, it is necessary to relate the overall solids conversion to voidage and diffusivity. An important feature of the structural effect is that when the porosity at the surface of the solid becomes zero (pore closure), the governing equations predict incomplete conversion, so often observed in gas-solid reactions (and not predicted by the basic models). [Pg.782]

For non-porous catalyst pellets the reactants are chemisorbed on their external surface. However, for porous pellets the main surface area is distributed inside the pores of the catalyst pellets and the reactant molecules diffuse through these pores in order to reach the internal surface of these pellets. This process is usually called intraparticle diffusion of reactant molecules. The molecules are then chemisorbed on the internal surface of the catalyst pellets. The diffusion through the pores is usually described by Fickian diffusion models together with effective diffusivities that include porosity and tortuosity. Tortuosity accounts for the complex porous structure of the pellet. A more rigorous formulation for multicomponent systems is through the use of Stefan-Maxwell equations for multicomponent diffusion. Chemisorption is described through the net rate of adsorption (reaction with active sites) and desorption. Equilibrium adsorption isotherms are usually used to relate the gas phase concentrations to the solid surface concentrations. [Pg.272]

The Wakao-Smith model has been found appropriate for bidisperse porous support where the effective diffusivity can be predicted from the porous structure of the particles. According to this model, the effective diffusivity can be evaluated using the relation ... [Pg.329]

Many additional refinements have been made, primarily to take into account more aspects of the microscopic solvent structure, within the framework of diffusion models of bimolecular chemical reactions that encompass also many-body and dynamic effects, such as, for example, treatments based on kinetic theory [35]. One should keep in mind, however, that in many cases the practical value of these advanced theoretical models for a quantitative analysis or prediction of reaction rate data in solution may be limited. [Pg.845]

The simple diffusion model of the cage effect again can be improved by taking effects of the local solvent structure, i.e. hydrodynamic repulsion, into account in the same way as discussed above for bimolecular reactions. The consequence is that the potential of mean force tends to favour escape at larger distances >... [Pg.862]


See other pages where Diffusion model, structure effect is mentioned: [Pg.164]    [Pg.53]    [Pg.29]    [Pg.183]    [Pg.518]    [Pg.167]    [Pg.347]    [Pg.14]    [Pg.260]    [Pg.232]    [Pg.193]    [Pg.163]    [Pg.70]    [Pg.38]    [Pg.794]    [Pg.385]    [Pg.199]    [Pg.116]    [Pg.418]    [Pg.241]    [Pg.19]    [Pg.53]    [Pg.227]    [Pg.154]    [Pg.260]    [Pg.684]    [Pg.47]    [Pg.78]    [Pg.621]    [Pg.670]    [Pg.261]    [Pg.242]    [Pg.444]    [Pg.254]   


SEARCH



Diffusion effective

Diffusion effects diffusivity

Effective diffusion models

Effective diffusivities

Effective diffusivity

Effective diffusivity model

Structural diffusion

© 2024 chempedia.info