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• W4386287377 abstract "This chapter focuses on the System-by-Design ( SbD ) paradigm for the efficient optimization-driven solution of complex electromagnetic ( EM ) design problems. According to the SbD , the computational complexity is effectively tackled through the problem-dependent selection, implementation, and interconnection of functional blocks and the exploitation of expedite modeling/analysis tools formulated within the machine learning ( ML ) framework. Accordingly, this chapter is aimed at overviewing the SbD fundamental concepts and practical guidelines for its application to several EM design problems. Recent customizations of the SbD paradigm to the synthesis of elementary radiators, reflectarrays, metamaterial lenses, holographic EM skins, radomes, and polarizers are discussed, as well." @default.
• W4386287377 created "2023-08-31" @default.
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• W4386287377 date "2023-08-30" @default.
• W4386287377 modified "2023-10-17" @default.
• W4386287377 title "Breaking the Curse of Dimensionality in Electromagnetics Design Through Optimization Empowered by Machine Learning" @default.
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• W4386287377 doi "https://doi.org/10.1002/9781119853923.ch3" @default.
• W4386287377 hasPublicationYear "2023" @default.
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