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Dimensional properties

Once the job is completed, the UniChem GUI can be used to visualize results. It can be used to visualize common three-dimensional properties, such as electron density, orbital densities, electrostatic potentials, and spin density. It supports both the visualization of three-dimensional surfaces and colorized or contoured two-dimensional planes. There is a lot of control over colors, rendering quality, and the like. The final image can be printed or saved in several file formats. [Pg.332]

The general dimensional properties of the unequal angle section used for the hanger are shown in Figure 4.63. Note that a < b and t < a and that the leg radii are square for mathematical simplification of the problem. [Pg.236]

M. Greenblatt, Molybdenum oxide bronzes with quasi low-dimensional properties. Chem. Rev. 88 (1988) 31. [Pg.254]

Despite PHI s seemingly mystical mathematical origins, Langdon explained, the truly mind-boggling aspect of PHI was its role as a fundamental building block in nature. Plants, animals, even human beings all possessed dimensional properties that adhered with eerie exactitude to the ratio of PHI to 1. [Pg.196]

An early method to picture the three-dimensional properties of molecules was the use of Fischer projections. In Fisher projections, bonds are drawn either vertically or horizontally. Bonds which are vertical project into file space behind the plane of file paper (blackboard, computer screen). Bonds which are horizontal project into file space in front of file plane of the paper (blackboard, computer screen). [Pg.125]

Keeping in mind the three-dimensional properties of molecules, Newman projections can be converted to wedged-dashed structures or Fischer projections as desired. It is important to develop facility for manipulating structures and... [Pg.127]

Because of die tetrahedral geometry of saturated carbon and the associated three-dimensional properties, molecules can have chirality as one stereochemical feature. Any object is chiral if it is different (nonsuperimposable) than its mirror image. Likewise a molecule is chiral if it is nonsuperimposable on its mirror image. This requirement does not consider conformational changes (rotations about single bonds) as valid conditions for nonsuperimposability. Thus, for the molecules below, the first is achiral (not chiral) because it is superimposable on its mirror image and the second is chiral because it is not superimpo sable on its mirror image. [Pg.128]

Computer generation of images from random structures. The stereological measurements described above provide a method for estimating three- dimensional properties from observations on two-dimensional images. Unfortunately, the quality of these estimates is sometimes difficult to assess. In order to verify the correctness of our method and to determine the minimum number of samples which must be observed to obtain satisfactory estimates, computer generated random structures were examined. [Pg.23]

Estimation of three-dimensional properties. Images obtained from computer generated random structures and from drug delivery devices were analyzed for porosity, extent of orientation, and distribution of particle size. In addition, the images from the drug delivery device were examined for individual drug particle shape. [Pg.23]

Partitioning or cell-based methods are based on the definition of a low-dimensional property space. The range of values for each property is divided into a set of bins and the combinatorial product of all bins then defines the set of cells that make up the space. Each molecule in a library is assigned to a cell according to its physical properties. A diverse subset of compounds can be selected by taking one or more molecules from each cell, whereas a focused set of compounds can be selected by choosing compounds from a limited number of cells, for example from those cells that surround the cell occupied by a known active compound. [Pg.354]

Perhaps the recently studied graphitic microtubes [29] with their cylindrical folded two-dimensional carbon sheets will, like the fullarenes, mix quasi-two- and three-dimensional properties. [Pg.33]

If a continuous viscosity detector is coupled to an FFF channel, viscosity distributions and intrinsic viscosities can be measured without calibrating the channel [76]. The coupling of one FFF instrument to another opens the possibility of obtaining two-dimensional property distributions of complex materials the combination of sedimentation- and flow-FFF provides the size-density distribution of complex colloids, whereas a combination of thermal- and flow-FFF yields the composition-molecular weight distribution of copolymers. [Pg.80]

As a cultural activity this harsh discipline of quantum physics has been a failure. The layman continues to ask about the meaning of things and an occasional heretic, such as David Bohm [60], keeps the idea of an intelligible quantum reality alive. The quest for an electronic structure must be conducted in this spirit one can scarcely expect a discipline based on the electron as a zero-dimensional point to reveal its structure. However, despite Dirac s initial neglect of dimensional properties, he found a finite classical... [Pg.92]

Fig. 3-5. Geometrical representation of FA. The three-dimensional property space is defined by three solvent descriptors [e.g. tbp, fJ-, and r) and filled with 30 solvent points, some of them already lying in the plane defined by the two factors F and Fi (according to [139] and [142]). Fig. 3-5. Geometrical representation of FA. The three-dimensional property space is defined by three solvent descriptors [e.g. tbp, fJ-, and r) and filled with 30 solvent points, some of them already lying in the plane defined by the two factors F and Fi (according to [139] and [142]).
The increase of n(A] with decreasing A, at constant temperature, is the two-dimensional analogue of am osmotic pressure-concentration Isotherm. Such surface pressure isotherms are the prime source of information about the orientational and/or conformational properties of the molecules in the monolayer they reflect their dimensional properties as well as interactions between them. In this respect, x(A) isotherms have about the same function as adsorption Isotherms. This matter will be discussed in more detaill in secs. 3.4 and 5. [Pg.220]

Numerical models for electrochemical process performance assessment or dimensioning generally assume uniform properties or one-dimensional property variations. For example, plug flow with axial dispersion is usually assumed within fdter-press electrolysers [1], whereas a Darcy flow model is commonly used within the gas diffusion layer of PEM electrolysers and fuel cells [2],... [Pg.12]

The relation between the tetrahedron and the cube is shown in the adjacent drawing. This relation permits us to evaluate easily some dimensional properties of the tetrahedron we note, for example, that the edge of the tetrahedron is V 2a, where a is the edge of the cube, and the distance from the center of the tetrahedron to a corner is /3a/2 hence the ratio of edge to distance from center to corner is 2 /2/v 3, which is 1.633. [Pg.40]

The periodic nature of the properties of atoms and the nature and chemistry of molecules are based on the wave property of matter and the associated energetics. Concepts including the electron-pair bond between two atoms and the associated three-dimensional properties of molecules and reactions have served the chemist well, and will continue to do so in the future. [Pg.464]

Associated Data Basically one- or -dimensional properties that can be assigned to a molecular entity. One-dimensional data are typically chemical or physicochemical molecular properties (e.g., molecular polarizability), whereas -dimensional data include spectra and molecular descriptors for the compounds. [Pg.342]


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See also in sourсe #XX -- [ Pg.213 ]




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