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Titlebook: Adjoint Topology Optimization Theory for Nano-Optics; Yongbo Deng Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusi

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Bauphysikalische und chemische Grundlagen,nd surface plasmonic cloaking, respectively. For localized surface plasmonic resonances and extraordinary optical transmission, the metallic nanostructures are designed with spectra peaks at the prescribed wavelengths and the shift of the spectra peak is controlled by solving the computational desig
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al implementation, and numerical tests.Provides in-depth treThe book focuses on the topology optimization method for nano-optics. Both principles and implementing practice have been addressed, with more weight placed on applications. This is achieved by providing an in-depth study on the major topic
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Book 2022placed on applications. This is achieved by providing an in-depth study on the major topic of topology optimization of dielectric and metal structures for nano-optics with extension to the surface structures for electromagnetics. The comprehensive and systematic treatment of practical issues in topo
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Book 2022logy optimization for nano-optics is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in topology optimization. The book can benefit researchers, engineers, and graduate students in the fields of structural optimization, nano-optics, wave optics, electromagnetics, etc.
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,Nachträgliche mechanische Horizontalsperre,y types. Based on the homeomorphic property of two-dimensional manifolds, typical two-dimensional manifolds, e.g., torus and Möbius strip, are included in the numerical tests, which are used to demonstrate this topology optimization approach for the design problems of wave optics.
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Front Matter field compu­ tation are, at best, unable to accommodate the very wide variety of configura­ tions in which fields must be computed. On the other hand, numerical methods can accommodate many practical configurations that analytical methods cannot. With the advent of high-speed digital computers, num
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Self-consistent Adjoint Analysis,ual methods.Provides reusable code fragments that can be useThis book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU
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