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Cluster computing

Figure 1. Density of states for various Ag clusters computed for 4d-, 5 s-, and 5p-orbitals within the extended Hiickel method. (Reprinted from Ref [32], 1981, with permission from Elsevier.)... Figure 1. Density of states for various Ag clusters computed for 4d-, 5 s-, and 5p-orbitals within the extended Hiickel method. (Reprinted from Ref [32], 1981, with permission from Elsevier.)...
The second example concerns the lithium ion, either considered in a cluster of water molecules or in aqueous solution. The idealized solution at infinite dilution of a lithium ion (without counter-ion) predicts six molecules of water in the first solvation shell if one uses pair-wise 2-body interactions, but the same type of computation predicts four molecules of water when 3-body effects are included. The computations were performed at room temperature. We have performed cluster computations for the Li fTO), system, with n = 1,2,3,4,5 and 6, using a density functional program developed in our laboratory. When we compute the most stable configuration for the pentamer complex Li+( starting from the most stable config-... [Pg.182]

Using particle partitioning, particle codes exhibit excellent scalability on distributed computing platforms (i.e., cluster computers). However, with complex chemistry, care must be taken when implementing chemical lookup tables to avoid scale-up bottlenecks. [Pg.349]

It is clear from the above that the continuum model can simulate only those aspects of the solvent which are somewhat independent from hydrophobicity, hydrophyUicity, generally the first solvation shell, and specific interactions with the solute. The physical problem is a general one namely, it relates to the validity to use quantities, correctly described and defined at the macroscopic level, in the discrete description of matter at the atomic level. For such study, one needs explicit consideration of the solvent, for example the molecules of water. This can be done either at the quantum-mechanical level, as in cluster computations. Another approach is to simulate the system at the molecular dynamics (or Monte Carlo) level these techniques allow us to consider... [Pg.285]

N. Vaval, L.S. Cederbaum, Ab initio lifetimes in the interatomic Coulombic decay of neon clusters computed with propagators, J. Chem. Phys. 126 (2007) 164110. [Pg.342]

The first of such procedures was the method of terminal atoms saturating the broken outer bonds of a cluster. It was initially used in cluster computations of point defects in homo-atomic crystals of diamond and silicon. The hydrogen atoms were used as saturating atoms. In Hayns (29) this approach was successfully extended to calculate the chemisorption of hydrogen on a graphite surface. [Pg.140]

The requirement of stability of the results upon enlarging the cluster, which is quite natural in any cluster computation of surface structures and chemisorption, presents a condition of logical consistency of the scheme of... [Pg.142]

As computers became faster, especially with the development of parallel and cluster computing, MD using direct dynamics became feasible. In direct dynamics, an analytic potential is never employed. Rather, the energy and its derivatives are computed as needed for each trajectory point. No error is introduced in a fitting procedure—the derivatives are accurately computed given the quantum mechanical method employed. [Pg.510]

Although stability can be guaranteed after a finite number of steps, this number can be reduced if step (3) is modified and the centroids are recalculated after each assignation of the observations. As a result of applying this technique, as well as a description of k clusters, computer programs usually provide the mean values of the variables in each of these, and the comparison of these mean values. [Pg.698]

The calculations for the CI2 molecule were performed at the all-electron, pseudopotential and combined levels. In the latter case, the pseudopotential and pseudofunctions were chosen at only one of the chlorine atoms. Such a variant could be considered as a prototype for large-scale cluster computations where external coordination shells of a cluster have to be replaced by pseudoatoms, whereas the innermost "important area is represented by the all-electron atoms. Table 3 shows that the combined approach does not lead... [Pg.144]

Table 7 contains the most significant results obtained for these radicals by coupled cluster computations (CCSD(T)) employing the Chipman basis set [97]. [Pg.494]

Baker, M., Fox, G. (1999) IMetacomputing Harnessing Informal Supereomputers, High Performance Cluster Computing Architectures and Systems, Buyva, R., Ed.. Volume 1, Prentice Hall PTR, N.I, USA. [Pg.378]

The van der Waals interaction between cavity and hydrocarbon is expected not to change significantly between the ground and the transition state, because the size of the hydrocarbon part does not change. A comparison of cluster-computed and periodical DFT-computed chemisorption of propylene is shown in Table IV. [Pg.419]

The elementary rate constant for proton activation is weakly dependent on the micropore size as long as steric constraints do not affect the transition state. Because of the zwitterionic nature of the transition state, dielectric screening by the oxygen atoms of the micropore tends to decrease the cluster-calculated transition state energies to 10 to 30% of the activation energies. Steric constraints on the transition state may substantially increase the cluster-computed activation energies by similar amounts. These steric constraints can be computed from periodical DFT calculations or from transition-state model structures using Monte Carlo adsorbate-zeolite pore interaction calculations. [Pg.430]


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