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It has already been mentioned that the diffusion coefficient V could be a function of x, z, and t, with the form of D being used to define the class of diffusion problem, eg i D= Do, a constant, for simple diffusion problems ii V = D(x), a function of the concentration as encountered in non-linear diffusion problems [86] Note, that as x = x (z) then D is intrinsically a function of position too iii D D(z), a function of position only, as could occur in ion implantation problems [87] Here the diffusion coefficient could be linearly dependent on the concentration of vacancies for example, where the latter itself is depth dependent iv D = D(t], a function of time, as could occur during the annealing of radiation damage For example, ion implantation can produce vacancies which aid diffusion [88,89]. asp.net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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Find out most popular NuGet code128 Packages. ... Reader. Bytescout Barcode Reader SDK for .NET, ASP.NET, ActiveX/COM - read barcodes from images and ... [Cloete and Ludik 1993] I Cloete, J Ludik, Increased Complexity Training, International Workshop on Artificial Neural Networks, in New Trends in Neural Computation, J Mira, J Cabestany, A Prieto (eds), in series Lecture Notes in Computer Science, Springer-Verlag, Berlin, 1993, pp 267 271 [Cloete and Ludik 1994a] I Cloete, J Ludik, Incremental Training Strategies, Proceedings of the International Conference on Artificial Neural Networks, Sorrento, Italy, Vol 2, May 1994, pp 743 746 [Cloete and Ludik 1994b] I Cloete, J Ludik, Delta Training Strategies, IEEE World Congress on Computational Intelligence, Proceedings of the International Joint Conference on Neural Networks, Orlando, USA, Vol 1, 1994, pp 295 298 [Cohn and Tesauro 1991] D Cohn, G Tesauro, Can Neural Networks do Better than the Vapnik-Chervonenkis Bounds , in R Lippmann, J Moody, DS Touretzky (eds), Advances in Neural Information Processing Systems, Vol 3, 1991, pp 911 917. asp.net code 128 reader NET Code 128 Barcode Reader - KeepAutomation.com
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NET Application. Use KA.Barcode Reader for .NET to Scan and Read Linear & 2D Barcode Images in .NET. Completely integrated into Visual Studio .NET, ASP. 4.3 BOUNDARY CONDITIONS Thus, given the initial diffusant profile and a fully prescribed diffusion coefficient, everything is in place for predicting the profile of the diffusant at any time in the future, except for the conditions at the ends of the system. These can not be calculated with the iterative equation (equation (4.9)), as the equation requires points which lie outside the z-domain. For diffusion from an infinite source, it may be appropriate to fix the diffusant concentration x at the two end points, e.g. x(z 0,t) = x(z = 0,t = 0). Alternatively, the concentrations x at the limits of the z.-domain could be set equal to the adjacent points which can be deduced from equation (4.9). Physically this defines the semiconductor structure as a closed system, with the total amount of diffusant remaining the same. It is these latter 'closed system' boundary conditions which will be employed exclusively in the following examples. 4.4 CONVERGENCE TESTS Figure 4.3 shows the result of allowing the diffusant profile in Fig. 4.1 to evolve to equilibrium, using the closed-system boundary conditions as described above. Clearly the 'closed' nature of the system can be seen the total amount of diffusant remains the same, and ultimately as would be expected for the 'water step', the concentration reaches a constant value. In the case of water, this could be looked upon as minimising the potential energy. If the diffusion process can be described by a constant diffusion coefficient, D = DO, then the general diffusion equation, equation (4.5), and its equivalent computation form, (equation (4.9)) simplifies to the following: asp.net code 128 reader .NET Barcode Reader Software | Code 128 Scanning DLL Library ...
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