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Derived from the Molecular Geometry

In Table 16 we give the generalized connectivity indices (xx) for the six conformers of 1,3,5-hexatriene (chain of six atoms superimposed on the graphite lattice) based [Pg.192]

As another illustration of use of structural invariants derived from the geometric matrices we will consider the chair and the boat conformers of cyclohexane. In Table 17 we give the geometry distance matrix for the chair structure. The geometry matrix for the boat conformer differs only in the entries corresponding to the carbon atoms at the bow and the stern positions of the boat. The molecular path numbers for the chair and the boat conformers are  [Pg.193]

The difference between the two sets of path numbers is not large, but neither are the two structures very different five out of six atoms in both molecules have the same coordinates. The corresponding ID (identification) numbers (given by the sum of all entries in the path sequence) are 13.5421 and 13.4569. [Pg.194]

Can we derive additional structurally related invariants A single invariant can hardly be expected to suit diverse applications. A way to get additional invariants is to consider powers of the interatomic separations. Let us write the G matrix  [Pg.195]

Then we define the elements of the matrix to be given by the powers (f, .y). Hence  [Pg.195]


HEAT OF FORMATION DERIVED FROM THE MOLECULAR GEOMETRY THE BOND ENERGY DERIVED FROM CC BOND LENGTHS... [Pg.155]

CANONICAL STRUCTURE WEIGHTS DERIVED FROM THE MOLECULAR GEOMETRY... [Pg.165]

T can be calculated from the molecular geometry and B from the derivatives F(n as discussed below. Assuming that we have picked out m independent Cartesian coordinates, we may reorder the columns of T so that the first m columns are linearly independent. In partitioned form we may write T as... [Pg.231]

In general, geometrical descriptors can be derived from the molecular matrix, Z-matrix or geometry matrix. [Pg.311]

GETAWAY GEometry, Topology, and Atom-Weights Assembly) descriptors are derived from the Molecular Influence Matrix (MIM), that is, a matrix representation of molecules denoted by H and defined as the follo ving [Consonni, Todeschini et al, 2002a, 2002b] ... [Pg.328]

In addition to molecular difiusion, Knudsen diffusion can also be a significant transport mechanism in the p)ore space of SOFC electrodes. In Knudsen diffusion, the interactions of gas molecules with the pore walls are of the same frequency as the interactions between gas molecules. Knudsen diffusion is typically formulated as Fickian diffusion [Eq. (26.2)], with the Knudsen diffusion coefficient being used in place of the binary diffusion coefiicient. The Knudsen diffusion coefficient of a species is independent of the other species in the system and is derived from the molecular motion of the gas molecules and the geometry of the pores [8, 11, 12). Owing to the small average pore radii of SOFCs ( 10 m [13-15]), diffusion in the pore space of the electrodes usually falls within a transition region where both molecular and Knudsen diffusion are important [16]. To model the transition region. Pick s law can be used with an effective diffusion coefficient to account for... [Pg.737]

Z-matriccs arc commonly used as input to quantum mechanical ab initio and serai-empirical) calculations as they properly describe the spatial arrangement of the atoms of a molecule. Note that there is no explicit information on the connectivity present in the Z-matrix, as there is, c.g., in a connection table, but quantum mechanics derives the bonding and non-bonding intramolecular interactions from the molecular electronic wavefunction, starting from atomic wavefiinctions and a crude 3D structure. In contrast to that, most of the molecular mechanics packages require the initial molecular geometry as 3D Cartesian coordinates plus the connection table, as they have to assign appropriate force constants and potentials to each atom and each bond in order to relax and optimi-/e the molecular structure. Furthermore, Cartesian coordinates are preferable to internal coordinates if the spatial situations of ensembles of different molecules have to be compared. Of course, both representations are interconvertible. [Pg.94]

A drawback of the SCRF method is its use of a spherical cavity molecules are rarely exac spherical in shape. However, a spherical representation can be a reasonable first apprc mation to the shape of many molecules. It is also possible to use an ellipsoidal cavity t may be a more appropriate shape for some molecules. For both the spherical and ellipsoi cavities analytical expressions for the first and second derivatives of the energy can derived, so enabling geometry optimisations to be performed efficiently. For these cavil it is necessary to define their size. In the case of a spherical cavity a value for the rad can be calculated from the molecular volume ... [Pg.611]

It is often of interest to calculate force constants from observed vibrational frequencies. However, it is not generally possible to derive analytical expressions for the force constants as functions of the frequencies and the molecular geometry. The calculation is necessarily an iterative one. Starting with a set of assumed force constants - usually obtained by analogy with similar bonds in other molecules - the values are refined until a suitable set is found. The set that yields the best agreement between calculated and observed frequencies constitutes the accepted force field for die molecule. [Pg.123]

From 1972 to the present, samples of TTBP and related derivatives have been sent by Schmutzler and ourselves to many experts in electron diffraction or micro-wave spectroscopy but, despite this, the molecular geometry of TTBP still remains unknown. From the long discussions we had with these experts, it appears that the main reasons for this failure are as follows the TTBP molecule contains 27 hydrogen atoms and it would have been tedious to prepare the complete set of deuterated species and analyse them by means of microwave spectroscopy, which would have been essential to obtain an unambiguous geometry. As for electron diffraction, the main difficulty arose from the fact that no simple intuitive model could be built to fit the experimental spectrum. We shall see why later. [Pg.28]

Homoleptic phenoxido complexes of the composition [Re(L)4] where L = 2,6-diisopropylphenoxide or 2,6-dimethylphenoxide have been prepared by the reaction of [ReCl4(THF)2] with the lithium salts of the ligands. The molecular geometry is square planar and the metal center is well protected from above and below the Re04 plane by the isopropyl groups and protects the complex from reactions with alkynes, whereas such a reaction and the formation of [Re(OC6H3-2,6-Me2)4(RC=CR)] adducts (R = Me, Eth, Ph) has been observed for the dimethyl derivative of the phenoxide. ... [Pg.334]

There are a few points with respect to this procedure that merit discussion. First, there is the Hessian matrix. With elements, where n is the number of coordinates in the molecular geometry vector, it can grow somewhat expensive to construct this matrix at every step even for functions, like those used in most force fields, that have fairly simple analytical expressions for their second derivatives. Moreover, the matrix must be inverted at every step, and matrix inversion formally scales as where n is the dimensionality of the matrix. Thus, for purposes of efficiency (or in cases where analytic second derivatives are simply not available) approximate Hessian matrices are often used in the optimization process - after aU, the truncation of the Taylor expansion renders the Newton-Raphson method intrinsically approximate. As an optimization progresses, second derivatives can be estimated reasonably well from finite differences in the analytic first derivatives over the last few steps. For the first step, however, this is not an option, and one typically either accepts the cost of computing an initial Hessian analytically for the level of theory in use, or one employs a Hessian obtained at a less expensive level of theory, when such levels are available (which is typically not the case for force fields). To speed up slowly convergent optimizations, it is often helpful to compute an analytic Hessian every few steps and replace the approximate one in use up to that point. For really tricky cases (e.g., where the PES is fairly flat in many directions) one is occasionally forced to compute an analytic Hessian for every step. [Pg.45]

Again, it must be noted that evaluating the rotational components of U and. S requires relatively little in the way of molecular information. All that is required is the principal moments of inertia, which derive only from the molecular structure. Thus, any methodology capable of predicting accurate geometries should be useful in the construction of rotational partition functions and the thermodynamic variables computed therefrom. Also again, the units chosen for quantities appearing in the partition function must be consistent so as to render q dimensionless. [Pg.364]

The work of Taddei et al.230 on imidazol2,1 -6]thiazole 337 and derivatives has interesting implications on the structure of azapen-talenes, and an important aspect of this study is that the molecular geometry used for calculations on 6-phenylimidazo[2,l-6]thiazole 417 was obtained from X-ray structure determinations130b (Section V,A). The reactivity of this system (Scheme 18, Section IV,C,4,b) is better correlated with Tr-electron densities than with total charges, and 7r-bond orders (by the PPP method) show that the thiazole part of the molecule is more localized than the imidazole part (Section VII). Proton chemical shifts, except that of the H2 proton a to sulfur (Section V,G,2), vary linearly with the total charge carried by the ring carbon atoms. [Pg.293]


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Geometry, molecular

Molecular derivation

Structure Weights Derived from the Molecular Geometry

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