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Quantum thermodynamic data

Because the heat of formation of NH2C12+ is not known, this chemical shift cannot be calculated from available thermodynamic data. However, quantum mechanical methods have been used to estimate the energy of this and similar reactions. These calculations are attractive for at least three reasons ... [Pg.158]

The values of the parameters r, r0, k,. .. etc used in the expressions for the energy terms in Equation (5.1) are either obtained/calculated from experimental observations or calculated using quantum mechanics using best fit methods. Experimental calculations are based on a wide variety of spectroscopic techniques, thermodynamic data measurements and crystal structure measurements... [Pg.101]

The thermodynamic data as well as the detonation parameters can nowadays be very reliably obtained by using quantum-mechanical computer calculations. On the one hand it is important to check experimental results, and on the other hand and even more importantly - it is important to predict the properties of potential new energetic materials without any prior experimental parameters, for example during the planning of synthetic work. Moreover, such computational methods are ideal for the estimation of the detonation parameters of newly synthesized compounds, which have not been obtained in the 50 100 g quantities which are necessary for the experimental determination of such detonation parameters (e.g. detonation velocity). [Pg.113]

The calculation depends on many molecular parameters, which are estimated from a combination of experimental bulk thermodynamic data and molecular structure calculations, employing both molecular and quantum mechanics. The model semiquantitatively reproduces water absorption, polymer density, and the number of water molecules per exchange site in these polymers. For a comprehensive description of this work, see References 60, 91, and 92. [Pg.449]

A pseudo-quantitative application of the theoretical formalism has been made for Nafion. The values for the requisite molecular parameters were estimated from a combination of experimental bulk thermodynamic data and molecular structure calculations using both molecular and quantum mechanics (23,24). A constraint was imposed in the development of the structural formalism. The model was constructed so that the predicted structural information could be used in a computer simulation of ion transport through an ionomer, that is, modeling the ionomer as a permselective membrane. [Pg.124]

The overall diagram of evolution of the excited states and reactive intermediates of a photoinitiating system working through its triplet state can be depicted in Scheme 10.2 [249]. Various time resolved laser techniques (absorption spectroscopy in the nanosecond and picosecond timescales), photothermal methods (thermal lens spectrometry and laser-induced photocalorimetry), photoconductivity, laser-induced step scan FTIR vibrational spectroscopy, CIDEP-ESR and CIDNP-NMR) as well as quantum mechanical calculations (performed at high level of theory) provide unique kinetic and thermodynamical data on the processes that govern the overall efficiency of PIS. [Pg.379]

The QUANTUM theoretical characterization of the molecular structure of polycyclic benzenoid aromatic hydrocarbons (PAHs) and the relationships of structure to the physical and chemical properties of PAHs are problems that have been of concern to theoreticians (and experimentalists) for more than 50 years. In general, quantum chemical procedures can be used successfully to correlate kinetic and thermodynamic data for PAHs. These procedures are usually restricted to the it systems of the PAHs and normally seem to yield very good results because (1) the it system properties are described accurately by quantum mechanical calculations and (2) the energetics of a given type of reaction in a group of related PAHs is mainly... [Pg.289]

An alternative approach to parametrisation, pioneered by Lifson and co-workers in the development of their consistent force fields, is to use least-squares fitting to determine the set of parameters that gives the optimal fit to the data [Lifson and Warshel 1968]. Again, the first step is to choose a set of experimental data that one wishes the force field to reproduce (or calculate using quantum mechanics, if appropriate). Warshel and Lifson used thermodynamic data, equilibrium conformations and vibrational frequencies. The error for a given set of parameters equals the sum of squares of the differences between the observed and calculated values for the set of properties. The objective is to change the force field parameters to minimise the error. This is done by assuming that the properties can be related to the force field by a Taylor series expansion ... [Pg.230]

In chapter 2, computational methods used for the determination of thermodynamic data of the compound, and the kinetic calculations performed in this work are presented. We give a brief review of the computational methods ab initio, and Density Functional Theory, Statistical Mechanics methods. Group Additivity method, and multifrequency Quantum Rice-Ramsperger-Kassel (QRRK). [Pg.4]

The wish to determine thermodynamic data of electrochemical reactions and of the involved compounds is one of the most important motivations to perform electrochemical measurements. After calorimetry, electrochemistry is the second most important tool to determine thermodynamic data. Although ab initio quantum chemical calculations can be used for the calculation of thermodynamic data of small molecules, the day is not yet foreseeable when electrochemical experiments will be replaced by such calculations. In this chapter we provide the essential information as to what thermodynamic information can be extracted from electrochemical experiments and what the necessary prerequisites are to do so. [Pg.14]

Molecule Quantum mechanical ab initio, or empirical Force field model of interactions Structure, electronic energy levels, thermodynamic data, analytical data, e.g., spectra, diffraction patterns, etc. [Pg.785]

Eckl B, Vrabec J, Hasse H (2008) Set of molecular models based on quantum mechanical ab initio calculations and thermodynamic data. J Phys Chem B 112 12710-12721... [Pg.242]

Rate constants can be estimated by means of transition-state theory. In principle all thermodynamic data can be deduced from the partion function. The molecular data necessary for the calculation of the partion function can be either obtained from quantum mechanical calculations or spectroscopic data. Many of those data can be found in tables (e.g. JANAF). A very powerful tool to study the kinetics of reactions in heterogeneous catalysis is the dynamic Monte-Carlo approach (DMC), sometimes called kinetic Monte-Carlo (KMC). Starting from a paper by Ziff et al. [16], several investigations were executed by this method. Lombardo and Bell [17] review many of these simulations. The solution of the problem of the relation between a Monte-Carlo step and real time has been advanced considerably by Jansen [18,19] and Lukkien et al. [20] (see also Jansen and Lukkien [21]). First principle quantum chemical methods have advanced to the stage where they can now offer quantitative predictions of structure and energetics for adsorbates on surfaces. Cluster and periodic density functional quantum chemical methods are used to analyze chemisorption and catalytic surface reactivity [see e.g. 24,25]. [Pg.42]

The electrochemistry of batteries Is a complicated phenomenon and thermodynamic data Is only applicable for equilibrium conditions and does not define overall kinetics. Including charge transfer, overpotential and rates. To date quantum mechanics and solid state theory has provided no understanding In defining the behavior of real batteries or cells. Battery research needs an Interdisciplinary approach of electrochemistry, material science, and various disciplines of engineering and above all a can-do Innovative spirit which Is somewhat missing In some of today s big science approach where publications are the highest form of achievement. [Pg.546]

In recent years, the availability of thermodynamic data has increased considerably thanks to the use of computer programs, based on semiempirical thermodynamic state equations. Also theoretical quantum-mechanical methods based on solutions of the Schrddinger equation have proven useful, at least for gases and crystalline solids the values are sometimes considered more accurate than those obtained experimentally. [Pg.586]


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See also in sourсe #XX -- [ Pg.19 ]




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