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COMPUTATIONAL CONDUCTION

Uses raw data from field tests to compute hydraulic conductivity computed value is evaluated by the expert system for its correctness with regard to these considerations site-specific geological characteristics, validity of test procedures, accuracy of the raw data, and the computational method. System is written in Arity-Prolog on a PC. [Pg.292]

Because of the rarity of five-coordinate zinc, McKee conducted computational studies at the DFT/ECP level on two methylzinc hydridoborates, namely the dimeric [(MeZn)2B3H7]2 discussed above, and dimeric [MeZnBH4]2, whose cation was detected in mass spectra.232 In both cases, the dimerization of these species from their hypothetical monomers was calculated to be exothermic, namely by 42.7kJmoP1 for [MeZnBH4]2 and by 27.2kJmoP1 for [(MeZn)2B3H7]2. [Pg.380]

A number of different systems have been developed to conduct computer-aided organic synthesis. Of these, one of the most extensive projects is LHASA ( 3 - 11). The method starts from a target molecule and derives a set of precursor molecules which can be expected to be converted to the target by one synthetic reaction or a simple sequence of reactions. Each precursor molecule so generated serves as the next target and the procedure is repeated, thus generating a tree of synthetic intermediates. Each precursor is somewhat simpler than its parent target molecule. [Pg.191]

Keywords nanostructure, aquatic ion of hydrogen, proton conduction, computational chemistry, modeling... [Pg.399]

The numerical results reviewed above were obtained for infinite lattices. How do the various quantities of interest behave near the percolation threshold in a large but finite lattice This problem has been studied by renormalization methods, which are essentially equivalent to finite-size scaling. For finite lattices the percolation transition is smeared out over a range of p, and one must expect a similar trend in other functions, including the conductivity. Computer simulations by the Monte Carlo method have been carried out for bond percolation on a three-dimensional simple cubic lattice by Kirkpatrick (1979). Five such experimental curves are shown in Fig. 40, each of which corresponds to a cube of size b, containing bonds. In Fig. 40 the vertical axis gives the fraction p of such samples that percolate (i.e., have opposite faces con-... [Pg.160]

Several colleagues have pointed out that an n-digit factorion cannot exceed x 9 (because each digit has a maximum value of 9). One can use this fact in conducting computer searches for factorions. [Pg.171]

Yu X, Leitner DM. 2006. Thermal conductivity computed for vitreous silica and methyl-doped silica above the plateau. Phys. Rev. B 74 184305-1-11. [Pg.267]

Prior to the microfabrication process, the stiff probe computer simulations were performed on the volume conduction computational model [29] developed at the medical centre in Leiden (LUMC), The Netherlands which gives the information regarding the stimulation pattern developed inside the cochlear auditory nerve bundle [31]. [Pg.11]

Akbar and Ghiaasiaan [10] conducted computational fluid dynamics simulations to model a unit cell (one bubble and two half-liquid slugs) in a capillary of 1 mm diameter. Their numerical results, as well as experimental data from previous investigators, were predicted well by the following equation ... [Pg.3203]

Fig. 5. Frequency distribution left histogram) of stomatal apertures in samples from 4 leaves of Xanthium strumarium treated with 10 M ( )-ABA stippled) and control leaves open histograms). Above zero line upper epidermis below lower epidermis j aperture class (class unit = 0.24 jam), f fraction of total number of stomata in one epidermis f fraction of closed stomata (separate scale ). Center histogram (g) stomatal conductances computed from stomatal dimensions and the frequency distribution in the left histogram. Right histogram A) assimilation rates computed from frequencies of conductances center histogram) and responses of a standard Xanthium leaf for an ambient partial pressure of CO. of 340 jabar, a quantum flux of 600 jumol m - s and a leaf temperature of 25 C. Assimilation rates (control/ABA treatment) by computation 18.2/10.7 jamol m - s by gas analysis 20.6/7.7 jumol m - s. Fraction of stomata directly sampled 0.26% in the upper, 0.19% in the lower epidermis... Fig. 5. Frequency distribution left histogram) of stomatal apertures in samples from 4 leaves of Xanthium strumarium treated with 10 M ( )-ABA stippled) and control leaves open histograms). Above zero line upper epidermis below lower epidermis j aperture class (class unit = 0.24 jam), f fraction of total number of stomata in one epidermis f fraction of closed stomata (separate scale ). Center histogram (g) stomatal conductances computed from stomatal dimensions and the frequency distribution in the left histogram. Right histogram A) assimilation rates computed from frequencies of conductances center histogram) and responses of a standard Xanthium leaf for an ambient partial pressure of CO. of 340 jabar, a quantum flux of 600 jumol m - s and a leaf temperature of 25 C. Assimilation rates (control/ABA treatment) by computation 18.2/10.7 jamol m - s by gas analysis 20.6/7.7 jumol m - s. Fraction of stomata directly sampled 0.26% in the upper, 0.19% in the lower epidermis...
The paper is organized in the following sections. Section 2 deals with literature survey of conducting computer graphics lab. The proposed OEA description and implementation is discussed in Sect. 3. The analysis of this activity is presented in Sect. 4. The article is conclnded in Sect. 5. [Pg.406]

Figure 6. Nominal conductivities. Computed times and isochrones for nominal conductivities. The same format as Figure 5 is used. These elliptical patterns were close but not quite equal to those expected from the Muler-Markin, 1978 predictions. Here goy = 0.2, g x = 0.8, giy = 0.02 At = 0.01ms djc = 0.10 mm, dj = 0.04 mm. [Reproduced from the Biophysical Journal 45 831-850 (1984) by copyright permission of the Biophysical Society]. Figure 6. Nominal conductivities. Computed times and isochrones for nominal conductivities. The same format as Figure 5 is used. These elliptical patterns were close but not quite equal to those expected from the Muler-Markin, 1978 predictions. Here goy = 0.2, g x = 0.8, giy = 0.02 At = 0.01ms djc = 0.10 mm, dj = 0.04 mm. [Reproduced from the Biophysical Journal 45 831-850 (1984) by copyright permission of the Biophysical Society].
W. W. M. Siu and S. H.-K. Lee. "Effective conductivity computation of a packed bed using constriction resistances and contact angle effects," Int. J. Heat Mass Transfer, 43, 3917-3924, 2000. [Pg.237]

Pike GE, Seager CH (1974) Percolation and conductivity - Computer study 1. Phys Rev B 10 1421... [Pg.44]

The pore radius assigned to each component of the network model is generated random numbers from 0 to 1 according to the probability density given from the pore-size measurement. The numerical assumption of the occurrence of the pore size is important in this model. The water saturation and hydraulic conductivity computed depend on the spatial distribution of the pore radius. The pore radii larger than 30 Ha, which can not be measured by the mercury intrusion method, are approximated to appear at the same probability as 3CTJm given by the PSD curve of Toyoura sand. [Pg.287]


See other pages where COMPUTATIONAL CONDUCTION is mentioned: [Pg.260]    [Pg.277]    [Pg.810]    [Pg.612]    [Pg.301]    [Pg.64]    [Pg.309]    [Pg.1545]    [Pg.1468]    [Pg.335]    [Pg.220]    [Pg.336]    [Pg.468]    [Pg.6]    [Pg.20]    [Pg.171]   
See also in sourсe #XX -- [ Pg.184 ]




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