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1995b] AP Engelbrecht, I Cloete, JM Zurada, Determining the Significance of Input Parameters using Sensitivity Analysis, International Workshop on Artificial Neural Networks, Torremolinos, Spain, June 1995, in J Mira, F Sandoval (eds), From Natural to Artificial Neural Computing, in the series Lecture Notes in Computer Science, Vol 930, pp 382 388 [Engelbrecht and Cloete 1996] AP Engelbrecht, I Cloete, A Sensitivity Analysis Algorithm for Pruning Feedforward Neural Networks, Proceedings of the IEEE.

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2. Heterojunctions between dissimiliar materials, both of which can be well represented by the effective mass approximation, can be described by a material potential which derives from the difference in the bandgaps. The logical extension to point 2 is that the crystal potential of multiple heterojunctions can also be described in this manner, as illustrated extensively in the previous section. Once this is accepted, then the electronic structure can be represented by the simple one-dimensional Schrodinger equation that has been aspired to:

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1 1 : Quantifiers which the range evaluates to true. (Quantifications are not always well defined if the range defines an infinite range set; we postpone discussion of this problem until later.) The fourth component is the term. In the case of summation, the term is an integer or real-valued expression. The final component of the notation is the angle brackets; these serve to delimit the scope of the bound variable. The value of a summation of the form (TLbv : range : term) is determined as follows: evaluate the term for each value of the dummy described by the range, and then sum all these values together. For example, the value of l ^ f e ^ S : fc}

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The envelope function approximation is the name given to the mathematical justification for this series of arguments (see for example works by Bastard [17,18] and Burt [19,20]) The name derives from the deduction that physical properties can be derived from the slowly varying envelope function, identified here as w ( z ) , rather than the total wave function w ( z ) u ( z ) where the latter is rapidly varying on the scale of the crystal lattice The validity of the envelope function approximation is still an active area of research [20] With the line of reasoning used here, it is clear that the envelope function approximation can be thought of as an approximation on the material and not the quantum mechanics Some thought is enough to appreciate that the envelope function approximation will have limitations, and that these will occur for very thin layers of material.

! 3 +2 3 + 33 Here, the range 1 ^ k ^ 3 determines the set [k \ 1 ^ k ^ 3} (read 'the set of k such that 1 ^ f c ^ 3') That is, the dummy k ranges over the three values 1, 2 and 3 The term fc3 is evaluated at these three values and then the values are summed together The range can be any boolean expression, and the term any integer or realvalued expression as in, for example, (Zfe : e v e n f c A ( K f c < N : k3+k2+N+l) Sometimes there may be no value of the dummy in the range, for example, if the dummy is k, the range is 0 ^ k < N, and N happens to be zero.

The materials are made of a collection of a large number of atomic potentials, so when a layer becomes thin, these individual potentials will become significant and the global average of representing the crystal potential by a constant will breakdown, for example [21] However, for the majority of examples this approach works well; this will be demonstrated in later chapters, and, in particular, a detailed comparison with an alternative approach which does account fully for the microscopic crystal potential will be made in 12 18 THE RECIPROCAL LATTICE For later discussions the concept of the reciprocal lattice needs to be developed It has already been shown that considering electron wave functions as plane waves (eik*r), as found in a vacuum, but with a correction factor called the effective mass, is a useful method of approximating the electronic bandstructure.

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