Abstract
An rSQP optimization algorithm has been linked to the MPSalsa parallel reacting flows code. The goal is to developSAND (Simultaneous Analysis aNd Design) methods for use with large-scale PDE simulations. MPSalsa is a unstructured grid finite element code that uses a fully coupled Newton method to solve the PDEs governing fluid flow, heat transfer, and non-dilute mass transfer. In this paper, we present results for optimization of a Chemical Vapor Deposition reactor for growing thin films of Gallium Nitride. In particular, we address issues of inexactness in the Jacobian matrix and of solution multiplicity.
Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed-Martin Company, for the United States Department of Energy under Contract DE-AC04-94AL85000.
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Salinger, A.G. et al. (2003). Optimization of Large-Scale Reacting Flows using MPSalsa and Sequential Quadratic Programming. In: Biegler, L.T., Heinkenschloss, M., Ghattas, O., van Bloemen Waanders, B. (eds) Large-Scale PDE-Constrained Optimization. Lecture Notes in Computational Science and Engineering, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55508-4_3
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DOI: https://doi.org/10.1007/978-3-642-55508-4_3
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