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Upon microphase separation, the azo moieties of relatively lower content aggregate together, which enables them to form easily an LC order in local areas, whereas a random copolymer of a similar azo content shows a statistical molecular structure, in which the azo moiety is homogeneously dispersed within the matrix of non-azo blocks No microphase separation can be observed since the azo block and the other blocks are completely miscible, resulting in an amorphous phase (Yu et al, 2008a) That is to say, the azo BC shows an LC phase more easily than an azo statically random copolymer with a similar low content of azo mesogens (Naka et al, 2009) As shown in Fig 128, although the random copolymer has a similar azo composition of B22 mol% to that of the well-de ned azo BC, it shows no LC phase.

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Many processors support a 64-bit architecture for extended memory addressing, though few applications take advantage of this. If you have an application that does use the 64-bit architecture, be sure the virtual environment also supports 64 bits.

^Ag,5 = Z^Ag+,2 + Ae,2

The acquired LC property might endow the azo LCBC with advanced performances such as physical anisotropy, self-organization, long-range ordering, MCM, and SMCM Since the segregated azo block is incompatible with the PMMA segments in microphase-separated lms, a cooperative effect occurs in the process of photoalignment, leading to a larger photoinduced birefringence than in the case of the random copolymer (Naka et al, 2009) Also, H- or J-aggregates are easily formed since the azo blocks exhibit a high local concentration in the microphase-separated domains (Tian et al, 2002) The microphase-separated morphologies also exert an in uence on the LC properties of the azo blocks (Mao et al, 1997).

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Do your applications require multicore or multiple processors symmetric multiprocessing (SMP)

For the hydrogen half-cell reaction (Eq. 3.1.44), 2 ^ 3 +2 ^ =^,2 (3.1.48)

For instance, a PS-based azo LCBC with mesogenic nanocylinders embedded within the PS matrix exhibited a clearing point, 221C higher than that of the azo LCBC in an LC lamellar structure, even though the former sample has a slightly lower molecular weight (Mn) than the latter Ober and coworkers proposed that the cylindrical nanodomain structures in azo LCBCs might stabilize the smectic mesophase within it rather than the lamellar microphase morphology (Mao et al, 1997)..

All the electrochemical potentials are expanded by using Eq. (3.1.1) into the chemical potential and the inner electrical potential; the difference (3.1.45) is then found from Eqs (3.1.46) to (3.1.48), to be

With multicore processing available on a single blade, there are several blade and virtual software vendors that support both physical and virtual SMP environments. Vendors that support physical SMP tie two or more adjacent blades together via high-speed transports to aggregate processors.

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The microphase separation is one of the most important properties of azo BCs in the solid state. It is well known that classical BC lms can microphase separate into nanoscale periodic structures that may be ideal candidates for many applications (Hamley, 2003). The driving force for the ordered nanostructure is to achieve the required balance of minimizing the interfacial energy and maximizing the conformational entropy of the BCs. However, thin lms of microphase-separated BCs typically do not have long-range ordering, which limits their further utilization. Generally, LC polymers and BCs are two types of ordered noncrystalline materials that can undergo self-assembly (Finkelmann and Walther, 1996; Mao and Ober, 1996). From the viewpoint of molecular design, azo LCBCs integrate their unique characteristics of both materials into a single system, which also bears photocontrol properties inherited from the azo chromophore. Such a SMCM is regarded as one of the most effective approaches to control microphase-separated nanostructures in azo LCBC lms (Yu et al., 2006a,b), as shown in Fig. 12.9. Here we show several newly developed approaches to manipulate nanostructures in azo LCBCs.

FE = -jUH+,3 - Ma ,3 ~ MAg,5 + MAgCl,4 + 2j^H2,2 (3.1.49)

Figure 12.8. Schematic illustration of a well-de ned azo BC and a random copolymer of similar azo content (B22 mol%) and their photoinduced alignment upon irradiation with a linearly polarized beam at 488 nm. As a result of the microphase separation, the azo BC shows LC phase, whereas the random copolymer is amorphous.

The right-hand side of this equation expresses the affinity of reaction (3.1.42). In general, for a cell reaction proceeding according to a given stoichiometric equation with stoichiometric factors v, and with transfer of charge equal to nF> that - A G = - 2 v,ju, = nFE (3.1.50)

Virtual SMP is done at a software level through a form of clustering. If your application can (or will) take advantage of either a physical or virtual SMP environment, consider the options. Q Are your applications supported in a virtual environment

If the galvanic cell drives an external current, it supplies work to its surroundings. For a reversible system, the difference between the external electrical potential difference and the EMF approaches zero and, in the limiting case, these two potentials differ in sign only. Thus, the electrical work supplied to the surroundings is given by the expression nFE = AG, i.e. the decrease in the Gibbs free energy of the system. It follows from Eq. (3.1.50) that the product nFE can be expressed by the Gibbs-Helmholtz equation: /dE\ nFT( ^ (ar)

Fabrication of large-area periodic nanoscale structures using supramolecular selforganizing systems is of great interest because of the simplicity and low cost of the fabrication process (Whitesides and Grzybowski, 2002). Although macroscopically ordered microphase separation has been successfully prepared in amorphous BC lms (e.g., Cheng et al., 2006; Darling, 2007), both high reproducibility and

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