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File show properties

The output from the QikProp is obtained in four files, viz. qikpropameslOO. out, qikpropameslOO.mae, qikpropameslOO.qpsa and qikpropameslOO.csv. Apart from the usual physico-chemical properties, the comma-separated values (CSV) file shows the important descriptors like caco-2 and MDCK cell permeability, blood-brain barrier (logBB), HERG, CNS which are important ADME predicted parameters for a molecule to qualify as drug (Fig. 2.10). [Pg.102]

You can interpret the stereochemistry and rates of many reactions involving soft electrophiles and nucleophiles—in particular pericyclic reactions—in terms of the properties of Frontier orbitals. This applies in particular to pericyclic reactions. Overlap between the HOMO and the LUMO is a governing factor in many reactions. HyperChem can show the forms of orbitals such as HOMO and LUMO in two ways a plot at a slice through the molecule and as values in a log file of the orbital coefficients for each atom. [Pg.141]

Figure 1 shows a flow chart for part of a recursive modelling procedure, illustrated in this paper, which accepts as input a formula consisting of constituent raw material codes or formula names, and quantities. The procedure retrieves property data for each raw material in order to perform the required calculations. When the procedure encounters a constituent that is a formulated product, it calls itself using that product as input. The output of the procedure consists of the calculated properties of the formula, including those properties of the formula that would be retrieved from data files for non-formulated or purchased raw materials. By returning this latter set of properties, the procedure can treat formulas as raw materials. [Pg.55]

The following screen capture shows a directory named CHt flleS. We used the Windows Explorer to copy three files from the CD-ROM to this directory. We will now look at the properties of one of these files. Select one of the files ... [Pg.604]

Figure 3.16 The structure of [Tb(bpdc)i 5(H2O)] 0.5nDMF. (a) The paddle-wheel building block, (b) The 3D-framework showing the large rhombic channels (Tb, black O, grey C, white H, omitted DMF guest molecules in (b) have been removed for clarity). (Redrawn from the CIF file of X. Guo et al., Synthesis, structure and luminescent properties of rare earth coordination polymers constructed from paddle-wheel building blocks, Inorganic Chemistry, 44 (11), 3850-3855, 2005 [75].)... Figure 3.16 The structure of [Tb(bpdc)i 5(H2O)] 0.5nDMF. (a) The paddle-wheel building block, (b) The 3D-framework showing the large rhombic channels (Tb, black O, grey C, white H, omitted DMF guest molecules in (b) have been removed for clarity). (Redrawn from the CIF file of X. Guo et al., Synthesis, structure and luminescent properties of rare earth coordination polymers constructed from paddle-wheel building blocks, Inorganic Chemistry, 44 (11), 3850-3855, 2005 [75].)...
In addition to allowing you access to your computer s files, the My Computer icon allows you a view of your machine s configuration and hardware, also called the System Properties, as shown in Figure 12.15. The following exercise shows you how to view these properties. [Pg.487]

Figure 2.23 shows the diffraction spectrum of a powder sample of calcium phosphate after subtracting background. With assistance of a computer, we can identify the peak positions in the spectrum and search for a possible match between the spectrum and a PDF data file. Additional chemical information is often used to help in the search process. For example, this specimen contents Ca, P and O. The computer quickly searches for a compound containing Ca, P and O. It finds a match between the diffraction spectrum of a sample with data for hydroxyapatite (Figure 2.24). There are two important parameters in a standard data file shown in Figure 2.24 the position of diffraction (20) and relative intensities of peaks (j ), or int-f in the PDF. I is the peak intensity with the maximum value in a spectrum. The highest int-f value is 999 which should be read as 0.999 in the relative intensity. The PDF may also list the corresponding d-spacing of peaks, which are the true crystal properties. Figure 2.23 shows the diffraction spectrum of a powder sample of calcium phosphate after subtracting background. With assistance of a computer, we can identify the peak positions in the spectrum and search for a possible match between the spectrum and a PDF data file. Additional chemical information is often used to help in the search process. For example, this specimen contents Ca, P and O. The computer quickly searches for a compound containing Ca, P and O. It finds a match between the diffraction spectrum of a sample with data for hydroxyapatite (Figure 2.24). There are two important parameters in a standard data file shown in Figure 2.24 the position of diffraction (20) and relative intensities of peaks (j ), or int-f in the PDF. I is the peak intensity with the maximum value in a spectrum. The highest int-f value is 999 which should be read as 0.999 in the relative intensity. The PDF may also list the corresponding d-spacing of peaks, which are the true crystal properties.
The fact that microemulsions have gained increasing importance both in basic research and in industry is reflected in the large number of publications on microemulsions. A survey of paper titles reveals that the number of papers on the subject of microemulsions increased within the last 30 years from 474 in 1976-1985 to over 2508 in 1986-1995 and to 6691 in 1996-2005.1 The fact that micro emulsions also provide the potential for numerous practical applications is mirrored in the number of patents filed on this topic. A survey of patents on microemulsions2 shows an increase from 159 in 1976-1985 to over 805 in 1986-1995 and to 2107 in 1996-2005. In the following the basic properties of microemulsions will be presented concentrating on the close connection between the phase behaviour and the interfacial tensions as well as on the fascinating microstructure. [Pg.2]

This review of STM studies of thin anodic oxide (passive) films formed on metals and alloys shows that important results have been obtained by direct imaging of the sur ce structure, providing direct evidence on (for example), the crystallinity of passive films and the nature of defects. The fully crystalline character of the film on Ni has been demonstrated by STM. The nature of defects (steps, kinks, vacancies, points of reduced thickness) has been elucidated. This is important for a better understanding of the breakdown of passive films. The unique protectiveness of fire film on Cr may be related to the observed structure with oxide nanocrystals cemented by a noncrystalline hydroxide. Many more results are expected to be produced, in the future, on the atomic structure of passive films, including the local interactions of impurities and anions with passive films and especially with surface defects, file local conductivity of passive films derived fi om I-V curves at specific sites, and chemical features derived fixim spectroscopic imaging. All these data should drastically improve our understanding of the relation between structure and properties of passive films. [Pg.196]

A favorite demonstration among chemistry teachers, performed to show that the properties of a compound differ from those of its constituent elements, involves iron filings and powdered sulfur. If the teacher takes samples of iron and sulfur and simply mixes them together, the two elements can be separated from each other with a magnet (iron is attracted to a magnet, sulfur is not). If the teacher then combines and heats the mixture of iron and sulfur, a reaction takes place and the elements combine to form iron(ll) sulfide (which is not attracted by a magnet). [Pg.314]

SO far only been attained by Monte Carlo simulations. Figure 5 illustrates the situation due to the combined effect of diffusion and catalytic reaction in a single-file system for the case of a monomolecular reaction A B [1]. For the sake of simplicity it is assumed that the molecular species A and B are completely equivalent in their microdynamic properties. Moreover, it is assumed that in the gas phase A is in abimdance and that, therefore, only molecules of type A are captured by the marginal sites of the file. Figure 5 shows the concentration profile of the reaction product B within the singlefile system imder stationary conditions. A parameter of the representation is the probabiUty k that during the mean time between two jump attempts (t), a molecule of type A is converted to B. It is related to the intrinsic reactivity k by the equation... [Pg.344]


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