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Electronic structure spectra predictions

The successful prediction of superconductivity in the high pressure Si phases added much credibility to the total energy approach generally. It can be argued that Si is the best understood superconductor since the existence of the phases, their structure and lattice parameters, electronic structure, phonon spectrum, electron-phonon couplings, and superconducting transition temperatures were all predicted from first principles with the atomic number and atomic mass as the main input parameters. [Pg.261]

The measured electronic structure, occupied or unoccupied, provides the fullest information when also combined with theory. Electronic structure calculations in surface chemistry have advanced immensely in the past decades and have now reached a level of accuracy and predictive power so as to provide a very strong complement to experiment. Indeed, the type of theoretical modeling that will be employed and presented here can be likened to computer experiments, where it can be assumed that spectra can be computed reliably and thus computed spectra for different models of the surface adsorption used to determine which structural model is the most likely. In the present chapter, we will thus consistently use the interplay between experiment and theory in our analysis of the interaction between adsorbate and substrate. Before discussing what quantities are of interest to compute in the analysis of the surface chemical bond, we will briefly discuss and justify our choice of Density Functional Theory (DFT) as approach to spectrum and chemisorption calculations. [Pg.61]

With metal clusters it is even harder than in other fields of inorganic chemistry to substantiate theoretical results by energy measurements. Only two such measurements have come to the attention of the author — the photoelectron spectrum of [CpFe(C0)]4 370) andbond energy determinations in 03(00)9CX-compounds 187). However, a considerable number of papers deal with metal-metal bonding in, and the symmetry properties of, clusters as related to their stoichiometry and their electron count. These studies have confirmed the wide apphcability of the simple 18-electron rule in predicting metal-metal bonds and structures, but they have also led to an understanding of the limits of this rule for clusters with more than four metal atoms. [Pg.12]

First look at the COSY spectrum to sort the multiplets into coupled partners one signal in each pair can be assigned on chemical shift grounds, using the electronic effects of the substituents. Remember that the centre lines of triplets are missing from COSY cross-peaks ( 4.3.1). Then find the extra NOESY connections in the spectrum. Finally, look at the structure and predict which protons should be connected by NOEs. [Pg.103]

The success of the GIAO calculations in predicting correctly the NMR spectrum of 4a and 5a suggests that this method can be used to study also the NMR spectra of transient silylenes which cannot yet be studied experimentally. Such studies can provide important ftmdamental information on the electronic structure of silylenes. [Pg.273]


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See also in sourсe #XX -- [ Pg.964 ]




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Electronic spectra structure

Predicted Spectra

Predicting structures

Spectra prediction

Spectra structure

Structured-prediction

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