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Chemical constraints models

Abstract. We present here the results of the measurement of the sulphur abundance in very metal-poor stars. Our sample covers the [-4 -2] range of metallicity, and thus allows us to constraint the chemical evolution models and also to put some key constraints... [Pg.128]

Incorporation of Chemical Constraints. To complete the model of the oxide-electrolyte interface, it is necessary to return to the preceding section on models of chemical reactions to find values of ctq, CT-p and 172 calculated from chemical considerations. [Pg.66]

Bond valences can be used in conjunction with other techniques, particularly powder diffraction where, for example, light atoms are difficult to refine in the presence of heavy atoms. Adding the chemical constraints of the bond valence model can stabilize the refinement, particularly in the case of superstructures that have high pseudo-symmetry (Thompson et al. 1999). [Pg.161]

The most recent progress in chemical constraints refers to the implementation of a physicochemical model into the resolution process [64, 66-73], In this manner, the concentration profiles of compounds involved in a kinetic or a thermodynamic process are shaped according to the suitable chemical law (see Figure 11.8). A detailed description of methods for fitting kinetic models to multivariate data is provided in Chapter 7. [Pg.435]

Figure 5.3.9 (A) Simplified geometric model [46, 89] for the preparation of industrial Cu/ZnO catalysts comprising subsequent meso- and nanostructuring of the material from [56], In a first micro structure directing step (mesostructuring), the Cu,Zn coprecipitate crystallizes in the form of thin needles of the zincian malachite precursor, (Cu,Zn)2(0H)C03. In a second step, the individual needles are decomposed and demix into CuO and ZnO. The effectiveness of this nanostructuring step depends critically on a high Zn content in the precursor, which in zincian malachite is limited to Cu Zn ca. 70 30 due to solid-state chemical constraints [75]. Finally, interdispersed CuO/ZnO is reduced to yield active Cu/ZnO. (B) Chemical memory Dependence of catalytic activity in methanol synthesis on the conditions of the coprecipitation and aging steps, from [85]. Figure 5.3.9 (A) Simplified geometric model [46, 89] for the preparation of industrial Cu/ZnO catalysts comprising subsequent meso- and nanostructuring of the material from [56], In a first micro structure directing step (mesostructuring), the Cu,Zn coprecipitate crystallizes in the form of thin needles of the zincian malachite precursor, (Cu,Zn)2(0H)C03. In a second step, the individual needles are decomposed and demix into CuO and ZnO. The effectiveness of this nanostructuring step depends critically on a high Zn content in the precursor, which in zincian malachite is limited to Cu Zn ca. 70 30 due to solid-state chemical constraints [75]. Finally, interdispersed CuO/ZnO is reduced to yield active Cu/ZnO. (B) Chemical memory Dependence of catalytic activity in methanol synthesis on the conditions of the coprecipitation and aging steps, from [85].
Mid- and far-infrared, submillimeter, and radio-wavelength observations allow probing the presence and abundance of simple molecules in these zones and provide constraints and boundary conditions for coupled disk evolution and chemical network models. The observed abundances and predictions from the disk models can be directly compared to constraints derived from the early Solar System. [Pg.11]

Many approaches already do this, for example, by incorporating known chemical constraints, densities or hard-sphere repulsions. Many of the emerging methods described below have this flavor, and as time goes on our ability to complex our data and our modeling approaches will only increase. [Pg.487]

Not all of the balance equations are independent of one another, thus the set of equation used to solve particular problems is not solely a matter of convenience. In chemical reactor modeling it is important to recall that all chemical species mass balance equations or all chemical element conservation equations are not independent of the total mass conservation equation. In a similar manner, the angular momentum and linear momentum constraints are not independent for flow of a simple fluid . [Pg.66]

Chemical reaction constraints of interest are redox equilibrium vs. disequilibrium (especially whether sulfate reduction progresses appreciably or not) and open vs. closed system processes. These types of constraints are implemented routinely when running chemical reaction models using EQ3/6 f9.5). [Pg.227]

The software also evolved as my group caught the interactive modeling bug. I converted the batch program GT to REACT, which was fully interactive. The user entered the chemical constraints for his problem and then typed go to trigger the calculation. Ming-Kuo Lee and I added Pitzer s activity model and a... [Pg.406]

Urayama et al. [119-121] tested the diffused constraint model using both uniaxial compression and equibiaxial elongation data for end-linked PDMS networks in which trapped entanglements were dominant in number relative to chemical crosslinks. The parameter k was used as an empirical fitting parameter, and the best-fit procedure yielded k = 2.9. The structural parameters (v, jj., /)... [Pg.513]

However, chemical engineering models comprise usually a large number of algebraic constraints highly nonlinear in composition. The projection of eq. (1.3) gives rise to the following quantities ... [Pg.250]

In the process industries batch plants are attracting attentions because of their suitability for prt ucing small-volume, high-value added commodity chemicals. Pipeless plants have also been developed and built to increase plant flexibility. Unexpected events, such as the failure of a processing unit, sometimes happen during operations. To avoid risk and to utilise the remaining resource, it is important to reschedule the production operation quickly. The constraint model in BPS has been extended to include constraints for rescheduling. These additional constraints are described in this paper and a case study is used to demonstrate the feasibility of the approach. [Pg.161]

Fig. 6. A section of our electron density map at an early stage of the partial structure Fourier procedure. P is for phosphate and R for ribose. The skeletal model drawing in incomplete for R o and Rvi- Electron densities for Rqq, R70, and C70 are out of the section chosen. Peo, Re9, Ue9, and P70 were not included in the calculation of the phases but came up in the electron density map. After the preliminary fitting as shown here, the refinement procedure optimizes the fitting to the target positions and the chemical constraints. Fig. 6. A section of our electron density map at an early stage of the partial structure Fourier procedure. P is for phosphate and R for ribose. The skeletal model drawing in incomplete for R o and Rvi- Electron densities for Rqq, R70, and C70 are out of the section chosen. Peo, Re9, Ue9, and P70 were not included in the calculation of the phases but came up in the electron density map. After the preliminary fitting as shown here, the refinement procedure optimizes the fitting to the target positions and the chemical constraints.
Constraint definition Here the steric and/or chemical constraints of the design problem are delineated and supplied to the program in an appropriate form. In many cases these constraints will be derived from the active site (or, more generally, receptor site) derived from homology models, receptor models, - pharmacophore models, CoMFA models, or just a single molecule may also be used. [Pg.68]


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Modeling chemical constraints

Modelling constraints

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