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Numerical Methods for Metamaterial Design. 1st ed. 2013

種類:
電子ブック
責任表示:
edited by Kenneth Diest
出版情報:
Dordrecht : Springer Netherlands : Imprint: Springer, 2013
著者名:
シリーズ名:
Topics in Applied Physics ; 127
ISBN:
9789400766648 [9400766645]  CiNii Books  Calil
注記:
1 Introduction; K.Diest -- 2 An Overview of Mathematical Methods for Numerical Optimization; D.E. Marthaler -- 3 Optimization with Surrogate Models; T.Schaul -- 4 Nonsmooth Optimization by Mesh Adaptive Direct Search; C.Audet, K.Diest, S. Le Digabel, L.A. Sweatlock, and D.E. Marthaler -- 5 Nature Inspired Optimization Techniques for Metamaterial Design; D. H. Werner, J.A. Bossard, Z.Bayraktar, Z.H. Jiang, M.D. Gregory, and P.L. Werner -- 6 Objective-First Nanophotonic Design; J. Lu and J. Vuckovic -- 7 Gradient Based Optimization Methods for Metamaterial Design; W. Chen, K.Diest, C.-Y. Kao, D.E. Marthaler, L. A. Sweatlock, and S.Osher -- Appendix: The Interface Between Optimization and Simulation.
This book describes a relatively new approach for the design of electromagnetic metamaterials.  Numerical optimization routines are combined with electromagnetic simulations to tailor the broadband optical properties of a metamaterial to have predetermined responses at predetermined wavelengths. After a review of both the major efforts within the field of metamaterials and the field of mathematical optimization, chapters covering both gradient-based and derivative-free design methods are considered.  Selected topics including surrogate-base optimization, adaptive mesh search, and genetic algorithms are shown to be effective, gradient-free optimization strategies.  Additionally, new techniques for representing dielectric distributions in two dimensions, including level sets, are demonstrated as effective methods for gradient-based optimization.  Each chapter begins with a rigorous review of the optimization strategy used, and is followed by numerous examples that combine the strategy with either electromagneti
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