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Modeling connectivity

Solving the master equation for the minimally frustrated random energy model showed that the kinetics depend on the connectivity [23]. Eor the globally connected model it was found that the resulting kinetics vary as a function of the energy gap between the folded and unfolded states and the roughness of the energy landscape. The model... [Pg.375]

Models which include exact exchange are often called hybrid methods, the names Adiabatic Connection Model (ACM) and Becke 3 parameter functional (B3) are examples of such hybrid models defined by eq. (6.35). The <, d and parameters are determined by fitting to experimental data and depend on the form chosen for typical values are a 0.2, d 0.7 and c 0.8. Owing to the substantially better performance of such parameterized functionals the Half-and-Half model is rarely used anymore. The B3 procedure has been generalized to include more filling parameters, however, the improvement is rather small. [Pg.188]

Adamo, C., Barone, V., 1997, Toward Reliable Adiabatic Connection Models Free from Adjustable Parameters , Chem. Phys. Lett., 274, 242. [Pg.278]

Model of crystallinity in which chain folds regularly connect model adjacent stems. [Pg.89]

Sabljic A. 1987. [The prediction offish bioconcentration factors of organic pollutants from the molecular connectivity model.] Z Gesamte Hyg Ihre Grenzgeb 33 493-496. (Yugoslavic)... [Pg.159]

Figure 15 The leave-one-out error (in kJjmol) as a function of the model of the lateral interactions. The numbers indicate the different lateral interactions triangie( 5), and (pbent(=6). The Uncs are guides to the eye. They connect models that differ by one lateral interactions parameter. A fat line indicates that adding a parameter improves the model... Figure 15 The leave-one-out error (in kJjmol) as a function of the model of the lateral interactions. The numbers indicate the different lateral interactions <Pnn( 1), <Pnnn(=2), (Pnnnn(=3), (pii ear(=4), q>triangie( 5), and (pbent(=6). The Uncs are guides to the eye. They connect models that differ by one lateral interactions parameter. A fat line indicates that adding a parameter improves the model...
Baker, J. Muir, M. Andzelm, J., J. Chem. Phys., 1995, 102, 2063-2079. B3LYP is called ACM (adiabatic connection model) in this paper. [Pg.315]

In the new model, the three-dimensional electric current path in the cell components is simulated precisely. The calculation of the electric current path inside the single cell and the calculations of chemical and thermo-fluid phenomena are connected to each other, i.e., it is a fully connected model. Using this model, it is possible to simulate the diagonal electric current in the electrolyte, and in addition, the geometry of the cell components can be considered in the calculation of the cell performance. Contact resistances among each cell component are also considered in the calculation. Here, a detailed calculation using the new model will not be mentioned. [Pg.336]

The molecular connectivity model proposed by Lu et al. (1999) for a diverse group of non-polar chemicals incorporated five different % values ... [Pg.347]

Sabljic et al. (1995) developed a molecular connectivity model for hydrophobic chemicals (i.e., hydrocarbons and halogenated hydrocarbons) based on first-order % values ... [Pg.370]

Tao et al. (1999) used fragmental constants alone to model soil sorption, for a data set of 592 chemicals. Using 74 fragmental constants and 24 structural factors, they found a very high R2 value of 0.967, with a mean error of 0.366 log units. Tao et al. (2001) compared the fragment constant and molecular connectivity models for the estimation of soil sorption, using the same 592 chemicals. [Pg.371]

They found the former considerably better, since their molecular connectivity model had R2 = 0.765 with a mean error of 0.440 log units. It should be noted that the R2 value of 0.967 for their fragmental constant method is so high that overfitting has probably occurred, since the error on measured log Koc values is quite high (Nendza, 1998). [Pg.372]

In what follows, it will be useful to classify the parent n-valence IMS belonging to the space P, the complementary"active space, whose union with P forms the CMS, as R and the true virtual space containing inactive labels as Q. The cluster operators inducing the transition P+R are all labelled by valence lines, and will henceforth be denoted as quasi-open. The operators making transitions P- Q will be called open. The operators connecting model spaces only will be called closed. In general, for a valence-universal O, it so happens that products of quasi-open... [Pg.354]

Adiabatic Connection Model (ACM), 187 172 CID, CTSD, CTSDT, CTSDTQ methods, 107 Cusp, of a wave function, 140, 214 ... [Pg.219]

Pogliani, L. (1992a). Molecular Connectivity Model for Determination of Isoelectric Point of Amino Acids. J.Pharm.ScL, 81,334-336. [Pg.628]

Sabljic, A. (1987). On the Prediction of Soil Sorption Coefficients of Organic Pollutants from Molecular Structures Application of Molecular Connectivity Model. Environ.Sci. Technol, 21, 358-366. [Pg.640]

Different kinds of Systems can be distinguished on the Meta Class Layer (cf. Fig. 2.2). TechnicalSystems represent all kinds of technical artifacts. They can be decomposed and do interact with other technical systems. Technical-Systems are either Devices or Connections. Similar to the idea of device and connection models in VeDa, Devices hold the major functionality and are linked by Connections. Furthermore, Material and SocialSystem are introduced... [Pg.99]

Estrada, E. (1999a) Connectivity polynomial and long-range contributions in the molecular connectivity model. Chem. Phys. Lett., 312, 556-560. [Pg.1033]

Pogliani, L. (1992a) Molecular connectivity model for determination of isoelectric point of amino acids. /. Pharm. Sci., 81, 334-336. [Pg.1142]

Sabljic, A. (1987) On the prediction of soil sorption coefficients of organic pollutants from molecular structures application of molecular connectivity model. Environ. Sci. Technol., 21, 358—366. [Pg.1161]

The interaction in a two-body collision in a dilute suspension has been expanded to provide a useful and quantitative understanding of the aggregation and sedimentation of particulate matter in a lake. In this view, Brownian diffusion, fluid shear, and differential sedimentation provide contact opportunities that can change sedimentation processes in a lake, particularly when solution conditions are such that the particles attach readily as they do in Lake Zurich [high cc(i,j)exp]. Coagulation provides a conceptual framework that connects model predictions with field observations of particle concentrations and size distributions in lake waters and sediment traps, laboratory determinations of attachment probabilities, and measurements of the composition and fluxes of sedimenting materials (Weilenmann et al., 1989). [Pg.470]

Diezemann and co-workers have recently presented numerical solutions of a master equation for the orientational relaxation of rotational correlation functions in glass-formers such as salol [172,173]. They have considered both globally and locally connected models, where in the latter case only states similar in energy to the starting point can be reached in one hop. They report that the main features of their results are qualitatively the same for these two extremes of connectivity. [Pg.33]

Chromatographic processes occur in several sub-steps that must be described by different connected models. Flow-sheeting systems could be used, which link all submodels by streams representing the material flow and solve the individual and overall heat and mass balances. The core of the overall separation processes is always, of course, the chromatographic column. [Pg.322]


See other pages where Modeling connectivity is mentioned: [Pg.29]    [Pg.376]    [Pg.156]    [Pg.156]    [Pg.287]    [Pg.195]    [Pg.320]    [Pg.102]    [Pg.849]    [Pg.297]    [Pg.314]    [Pg.183]    [Pg.243]    [Pg.95]    [Pg.495]    [Pg.1145]    [Pg.164]    [Pg.559]   
See also in sourсe #XX -- [ Pg.27 , Pg.32 , Pg.40 , Pg.43 ]




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