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Self-modeling strategies

This self-assembly strategy has recently been extended to construct an interesting biomimetic model for the bacterial photosynthetic reaction center complex [97], In this system, a cofacial zinc(II) phthalocyanine dimer is formed via the interactions between K+ ions and the four 15-crown-5 units fused to the phthalocyanine ring. [Pg.206]

Figure 1 Models of self-assembling strategies used in nanotube formation. Figure 1 Models of self-assembling strategies used in nanotube formation.
The goal of this chapter is twofold. First we wish to critically compare—from both a conceptional and a practical point of view—various classical and mixed quantum-classical strategies to describe non-Born-Oppenheimer dynamics. To this end. Section II introduces five multidimensional model problems, each representing a specific challenge for a classical description. Allowing for exact quantum-mechanical reference calculations, aU models have been used as benchmark problems to study approximate descriptions. In what follows, Section III describes in some detail the mean-field trajectory method and also discusses its connection to time-dependent self-consistent-field schemes. The surface-hopping method is considered in Section IV, which discusses various motivations of the ansatz as well as several variants of the implementation. Section V gives a brief account on the quantum-classical Liouville description and considers the possibility of an exact stochastic realization of its equation of motion. [Pg.250]

The nonionic template strategy based on hydrogen bonds and to a certain extent on n-n interactions has made catenanes and rotaxanes readily available. The molecular recognition and self-organization process which is responsible for the formation of intertwined and interlocked structures is founded upon the same weak interactions that govern many biological processes. Amide-based catenanes and rotaxanes can thus serve as valuable models for complex molecular recognition patterns in nature. [Pg.216]


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See also in sourсe #XX -- [ Pg.219 ]




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Modeling strategy

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