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Two-dimensional molecular clusters

Bdhringer, M., Morgenstem, K., Schneider, W. D., and Berndt, R. (1999). Separation of a racemic mixture of two-dimensional molecular clusters by scanning tunneling microscopy. Angew. Chem., Int. Ed. Engl, 38, 821-3. [Pg.273]

Andres R P ef a/1996 Self-assembly of a two-dimensional superlattice of molecularly linked metal clusters Science 273 1690... [Pg.2914]

At the low end of the hierarchy are the TS descriptors. This is the simplest of the four classes molecular structure is viewed only in terms of atom connectivity, not as a chemical entity, and thus no chemical information is encoded. Examples include path length descriptors [13], path or cluster connectivity indices [13,14], and number of circuits. The TC descriptors are more complex in that they encode chemical information, such as atom and bond type, in addition to encoding information about how the atoms are connected within the molecule. Examples of TC descriptors include neighborhood complexity indices [23], valence path connectivity indices [13], and electrotopological state indices [17]. The TS and TC are two-dimensional descriptors which are collectively referred to as TIs (Section 31.2.1). They are straightforward in their derivation, uncomplicated by conformational assumptions, and can be calculated very quickly and inexpensively. The 3-D descriptors encode 3-D aspects of molecular structure. At the upper end of the hierarchy are the QC descriptors, which encode electronic aspects of chemical structure. As was mentioned previously, QC descriptors may be obtained using either semiempirical or ab initio calculation methods. The latter can be prohibitive in terms of the time required for calculation, especially for large molecules. [Pg.485]

CAMD modeling has been used in this study to compare and partially to differentiate several postulated bituminous coal models based on their physical structures, minimum energies, and other characteristics. It is clear from the folding of the CAMD structures after molecular dynamics (especially in Figures 3c and 4c) that simple two-dimensional representations cannot adequately represent the structure of coal. Inter-cluster bonding has a powerful influence on coal structure when three-dimensional models are employed. [Pg.168]

Figure 6.29 shows mass spectra recorded during elution reduced to a two-dimensional contour plot. Each point is produced from pseudo-molecular ions, cluster formation or fragmentation. AU ions eluting in parallel with respect to time, at c. 29 min are assumed to belong to the main component, but there are some points clearly seen on the front edge of the main peak that indicate the presence of an impurity. This was confirmed by the production of a mass chromatogram of miz 486. [Pg.189]

In addition to the experimental aspects of the different types of materials, theoretical treatments also were discussed. These included the presentation of studies related to molecular vibrational dynamics, the problem of vibration-induced decay of electronic excited states, nanoscale spin-orbit coupling in two-dimensional silicon-based structures, and the growth of semiconductor clusters by combining both theoretical approaches with actual experimental data. [Pg.424]

It also shows that silica hybrid materials and molecular machines are quite close to each other, which is due to the use of porous silica sol-gel to provide a stable matrix for encapsulating molecular machines in a macroscopic solid. However, since Figure 24.2 is a two-dimensional projection of a much higher-dimensional space, one has to be cautious in the interpretation of apparent proximity QD and CNT clusters appear close to each other only because they are both interconnected with the biosensing cluster, not because they are directly related to each other. [Pg.679]


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