Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Crystal structure prediction clustering

Quantum mechanical methods have also been applied to crystal structure prediction. A recent example involved the use of ab initio crystal field methods with the SM (supermolecule) model and the PC (point charge) model applied to the three known polymorphs of glycine [77]. Comparison of the optimised structures with published X-ray structures for these forms indicated that the quantum-mechanically based SM model employing a 15-molecule cluster produced results in better agreement with experiment than the PC model which describes the crystal environment purely electrostatically. [Pg.175]

Methods of clustering are implemented in most packages devoted to crystal structure prediction. For flexible molecules it is always helpful to minimise the energy of the candidate structures without any constraints, before performing clustering. This ensures that the molecular geometries in equivalent structures are as similar as possible, given the accuracy of the minimisation. [Pg.59]

Chatfield C and A J CoHns 1980. Introduction to Multivariate Analysis. London, Chapman Hall. Desiraju G R 1997. Crystal Gazing Structure Prediction and Polymorphism. Sdence 278 404-405. Everitt B.S. 1993 Cluster Analysis. Chichester, John Wiley Sons. [Pg.521]

The interaction of the partially reduced Ni-C form with the [4Fe4S] proximal cluster has been studied in D. gigas hydrogenase (103). From these studies it has been possible to predict the distance between the two redox centers. The value agrees well with that observed in the crystal structure (Fig. 9). In the readily available as-... [Pg.304]

Further on, the measure RMS distance that is to be optimized is a valuable point of information in itself. It is used, for example, to compare predictions with crystal structures and invaluable for clustering similar placements. However, caution must be taken to avoid problems with symmetry in the molecules. Again, the problem of correspondence must be treated carefuUy, since, for example, a rotation of 180° of a phenyl ring should not affect the result of such a quality assessment. [Pg.72]

Numerous triosmium-platinum clusters have been prepared, many of them derived from Os3Pt(/i-H)2(CO)10(PR3) (1) (40,40a). Although, as discussed in Section III, the participation in cluster bonding of the tangential orbitals of nonconical PtL units may be difficult to predict a priori, the observed tetrahedral skeleton of 1 (40,40a) and nonplanar coordination geometry at the Pt atom suggest that the Pt atom should behave as an 18-electron center. The 58-CVE count therefore implies that the cluster is unsaturated, and this is consistent with EHMO studies (88,98) and the high chemical reactivity of 1. The crystal structures of la (40,40a) and the 58-CVE derivatives 21 (108) and 22 (118) all show unusually short Os(/ -H)Os distances [2.789(1),... [Pg.351]

It should be clear that this reaction mechanism and the structure in Figure 6 are both conjectural to a considerable extent. A crystal structure is the major piece of information lacking. The model is based on presently available spectroscopic, redox-chemical, and protein-sequence information. It predicts that His371 is essential for activity, but not for structural integrity, of the H cluster. It also predicts that in fully reduced Fe hydrogenase the H cluster contains two (possibly coupled) S = 1/2 systems. [Pg.226]

The exceptional large value of forbidden gap width seems to be any doubtful. Perhaps it means that not all of the calculations results obtained for small clusters can be used for prediction of crystal structures properties. Must be noted that calculated bonds lengths in squares and hexagons and period of crystal lattice (1.607 A, 1.452 A, 5.894 A) differ from the values (1.503 A, 1.380 A, 5.545 A), obtained in [8], However one can not expect the better accordance from the results of clusters calculations performed moreover in the frames of semi-empirical PM3-basis. [Pg.715]


See other pages where Crystal structure prediction clustering is mentioned: [Pg.185]    [Pg.174]    [Pg.338]    [Pg.345]    [Pg.1]    [Pg.46]    [Pg.60]    [Pg.76]    [Pg.160]    [Pg.417]    [Pg.2109]    [Pg.226]    [Pg.521]    [Pg.92]    [Pg.187]    [Pg.246]    [Pg.324]    [Pg.223]    [Pg.243]    [Pg.33]    [Pg.335]    [Pg.131]    [Pg.513]    [Pg.148]    [Pg.22]    [Pg.267]    [Pg.34]    [Pg.690]    [Pg.137]    [Pg.423]    [Pg.312]    [Pg.109]    [Pg.449]    [Pg.35]    [Pg.306]    [Pg.108]    [Pg.15]    [Pg.2319]    [Pg.157]   
See also in sourсe #XX -- [ Pg.59 ]




SEARCH



Cluster crystal

Cluster structures

Clusters crystal structure

Crystal prediction

Crystal structure prediction

Crystal structures, predicted

Crystallization predictions

Predicting structures

Structured-prediction

Structures Clustering

© 2024 chempedia.info