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One important concept that relates to facilitating chemical reactions is catalysis (and the agent is the catalyst). The term catalysis was invented in 1835 by the chemist J. J. Berzelius, and the term was later amended by W. Ostwald, who proposed the more modern de nition: A catalyst is a substance that accelerates the rate of a chemical reaction without being part of its nal products. Essentially, the catalyst acts by forming intermediate compounds with the molecules involved in the reaction, providing an alternate and more rapid path to the nal products. Hence, catalysis is a process whereby the rate of a particular chemical reaction is hastened, sometimes enormously so, by the presence of small quantities of a substance that does not itself seem to take part in the reaction. For example, powdered platinum will catalyze the addition of hydrogen to oxygen and to a variety of organic compounds [87]. Catalysis is critical: In biological systems enzymes are essential catalysts for various biosynthetic pathways; in the chemical and petroleum industries key processes are based on catalysis; in environmental chemistry catalysts are essential to breaking down pollutants such as automobile and industrial exhausts. If the catalyst and the reacting species are in the same phase (e.g., in a liquid), then the process is known as homogeneous catalysis; more relevant in industrial processes is heterogeneous catalysis, where the catalyst is a solid and the reacting molecules interact with the surface of the solid from the gaseous or liquid phases [87]. Catalysis would deserve several chapters (books) to fully describe. As we saw in passing in 1, it is one of the top ve areas of research and publication in the context of nanotechnology. 3.2.4 Chemistry of Carbon

The instantaneous current is a function of the static DC voltages and average temperature, and of the instantaneous fast voltages [31, 32]. Several possibilities are available for pulsed I /V curve measurements. A possible scheme is shown in Figure 2.20.

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At this time, credit card processing is easier to get in the United States than in most other countries. Some American banks are now offering services in the United States for foreign companies. These services are somewhat more limited than those available to companies based in the United States, but might be suitable in some cases. AuthorizeNet and Cardservice International offer such international transaction processing. An alternative is the payment processing service. With this arrangement the details of each transaction are handled by the service in exchange for a small percentage. Then, each month, the service sends you a check for your sales. Kagi.com is an excellent example of this type of service. You can learn more about Kagi and its payment processing at www.kagi.com. In fact, I highly recommend them.

Objectives After completing this chapter you should be familiar with:

[lo] H. Bolckei, D. Gesbert, and A.J. Paulraj. On the capacity of OFDM-based spatial multiplexing systems, IEEE Trans. Commun., 50(2):225-234, Feb.

Figure 10-30: In the Save For Web window you set the optimization. You can compare two or four different Web settings and choose the best one.

Figure 9.1. Two-electron, two-orbital interaction of an alkyl halide s orbital (LUMO) and the nonbonded orbital, n, of a nucleophile: (a) most favorable approach; (b) unfavorable front-side approach on nodal surface.

We may therefore state, as suggested earlier, that the truncation error per step is of order O(h2 ) because of this. The usefulness of (10.44) is somewhat limited in that it depends on the solution x(t) [or rather on the second derivative x (2) (t)], which is, of course, something we seldom know in practice. How may we obtain more accurate methods More speci cally, this means nding methods for which the truncation error per step is of order O(hm ) with m > 2. One way to obtain improved accuracy is to try to improve the Euler method. More than one possibility for improvement exists. However, a popular approach is Heun s method. It is based on the following observation. A drawback of the Euler method in (10.22) is that f (xn , tn ) is the derivative x (1) (t) at the beginning of the interval [tn , tn+1 ], and yet x (1) (t) varies over [tn , tn+1 ]. The implicit form of the Euler method works with f (xn+1 , tn+1 ), namely, the derivative at t = tn+1 , and so has a similar defect. Therefore, intuitively, we may believe that we can improve the algorithm by replacing f (xn , tn ) with the average derivative

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