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Connecting Theory with Experiment

The Gibbs free energy of activation (AG ) can be obtained from enthalpy and entropy using the standard expression (Eq. (8.11))  [Pg.197]

In many cases, the inaccuracy involved in the calculation of the difference in enthalpy is similar to the contribution from TAS, and in these cases the enthalpy can be used directly in Eq. (8.9). For a given asymmetric reaction, it difference [Pg.197]

It is immediately obvious why the computational method should have an accuracy of at least 0.5-1 kcalmol (2-4kJ mol ) to allow useful predictions of chemical selectivity. Furthermore, it is also clear that the expected uncertainty in the prediction will depend greatly on whether the selectivity is in the low ( 5 kj mol ), medium (6-9 kj mol ), or high region ( 10 kj mol ). [Pg.197]

In the following sections, we will discuss a series of case studies where both experimental and theoretical methods have been used to delineate reaction mechanisms in transition metal catalysis. Owing to the overwhelming number of impressive [Pg.197]

Often experiments or previous mechanistic investigations narrow the choice of likely mechanism candidates down to a few candidates. These can then be studied in detail using computational chemistry the results of which should then ideally correspond to the experimental results. [Pg.198]


The quantity that connects theory with experiment in CD spectroscopy is the rotational strength R. On an experimental level, R is determined by the area under a resolved CD transition (Figure 1.6b), while from theory the rotational strength is proportional to the projection of the electric dipole moment of a T g —> vPe transition... [Pg.8]

These achievements still come at a price. The reactants used are expensive and generally highly toxic, highly flammable and sometimes explosive. The great diversity of process parameters requires initial detailed optimization of a wide variety of often conflicting constraints. Fortunately, the thermodynamics and hydrodynamics have been well studied and process variables are fairly well understood. Further, modeling advances have connected theory and experiment to, in somecases, develop well proven processes with minimal effort. [Pg.207]

Make the connection with experiments to allow verification of the theory of QM. [Pg.30]

The remainder of this contribution is organized as follows In the next section, the connection between the experimentally observed dynamic Stokes shift in the fluorescence spectrum and its representation in terms of intermolecular interactions will be given. The use of MD simulation to obtain the SD response will be described and a few results presented. In Section 3.4.3 continuum dielectric theories for the SD response, focusing on the recent developments and comparison with experiments, will be discussed. Section 3.4.4 will be devoted to MD simulation results for e(k, w) of polar liquids. In Section 3.4.5 the relevance of wavevector-dependent dielectric relaxation to SD will be further explored and the factors influencing the range of validity of continuum approaches to SD discussed. [Pg.367]

Karachalios chapter shows the fine structure and the local character of knowledge production as well as its dependence on information exchange, and the same can be said of the contribution from Blondel-Megrelis. The career of Jean Barriol after the war and the establishment of the Theoretical Chemistry Laboratory at Nancy extends the story to the period after World War II and expands it to include France. As with Bonino, Barriol regarded the interplay of theory and experiment as of utmost importance for a fruitful development of theoretical chemistry. Although after 1945 the scientific contacts of France with its allies were quite strong, illustrated by the fact that the first conference on quantum chemistry after the war was held in Paris in 1948, the establishment of Barriol s laboratory was closely connected to French... [Pg.7]

The description of a network structure is based on such parameters as chemical crosslink density and functionality, average chain length between crosslinks and length distribution of these chains, concentration of elastically active chains and structural defects like unreacted ends and elastically inactive cycles. However, many properties of a network depend not only on the above-mentioned characteristics but also on the order of the chemical crosslink connection — the network topology. So, the complete description of a network structure should include all these parameters. It is difficult to measure many of these characteristics experimentally and we must have an appropriate theory which could describe all these structural parameters on the basis of a physical model of network formation. At present, there are only two types of theoretical approaches which can describe the growth of network structures up to late post-gel stages of cure. One is based on tree-like models as developed by Dusek7 I0-26,1 The other uses computer-simulation of network structure on a lattice this model was developed by Topolkaraev, Berlin, Oshmyan 9,3l) (a review of the theoretical models may be found in Ref.7) and in this volume by Dusek). Both approaches are statistical and correlate well with experiments 6,7 9 10 13,26,31). They differ mainly mathematically. However, each of them emphasizes some different details of a network structure. [Pg.56]

There was discussion on several occasions on the gap of realities between theory and experiments. One point raised in this connection was the value of a theoretician directly participating with experimental groups. This will help to apply theory directly and continuously to experimental activities, with immediate feedback in both directions. Theory often brings attention to subtle but important features, which experimentalists may not naturally notice, or even cannot directly measure. Likewise without rapid data to test predictions, theorists can only slowly refine models and may spend considerable effort on predictions made with incomplete models that yield less accurate predictions. This synergy seems to be growing world wide and will surely benefit all research in the area of hydrogen storage. [Pg.330]

It is evident now why the Helmholtz and Gouy-Chapman models were retained. While each alone fails completely when compared with experiment, a simple combination of the two yields good agreement. There is room for improvement and refinement of the theory, but we shall not deal with that here. The model of Stem brings theory and experiment close enough for us to believe that it does describe the real situation at the interface. Moreover, the work of Grahame shows that the diffuse-double-layer theory, used in the proper context (i.e., assuming that the two capacitors are effectively connected in series), yields consistent results and can be considered to be correct, within the limits of the approximations used to derive it. [Pg.113]


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