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001 978-94-007-6664-8
003 DE-He213
005 20140220082943.0
007 cr nn 008mamaa
008 130805s2013 ne | s |||| 0|eng d
020 _a9789400766648
_9978-94-007-6664-8
024 7 _a10.1007/978-94-007-6664-8
_2doi
050 4 _aQC350-467
050 4 _aTA1501-1820
050 4 _aQC392-449.5
050 4 _aTA1750-1750.22
072 7 _aTTB
_2bicssc
072 7 _aPHJ
_2bicssc
072 7 _aTEC030000
_2bisacsh
082 0 4 _a621.36
_223
100 1 _aDiest, Kenneth.
_eeditor.
245 1 0 _aNumerical Methods for Metamaterial Design
_h[electronic resource] /
_cedited by Kenneth Diest.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2013.
300 _aXVI, 213 p. 97 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTopics in Applied Physics,
_x0303-4216 ;
_v127
505 0 _a1 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.
520 _aThis 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 electromagnetic simulations or analytical solutions of the scattering problem.  Throughout the text, we address the strengths and limitations of each method, as well as which numerical methods are best suited for different types of metamaterial designs.  This book is intended to provide a detailed enough treatment of the mathematical methods used, along with sufficient examples and additional references, that senior level undergraduates or graduate students who are new to the fields of plasmonics, metamaterials, or optimization methods; have an understanding of which approaches are best-suited for their work and how to implement the methods themselves.
650 0 _aPhysics.
650 0 _aComputer aided design.
650 0 _aMicrowaves.
650 0 _aOptical materials.
650 1 4 _aPhysics.
650 2 4 _aOptics, Optoelectronics, Plasmonics and Optical Devices.
650 2 4 _aOptical and Electronic Materials.
650 2 4 _aMicrowaves, RF and Optical Engineering.
650 2 4 _aNumerical and Computational Physics.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400766631
830 0 _aTopics in Applied Physics,
_x0303-4216 ;
_v127
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-6664-8
912 _aZDB-2-PHA
999 _c99947
_d99947