Read e-book online Computational Nanotechnology Using Finite Difference Time PDF

By Sarhan M. Musa

ISBN-10: 1466583614

ISBN-13: 9781466583610

ISBN-10: 1466583622

ISBN-13: 9781466583627

The Finite distinction Time area (FDTD) process is a necessary instrument in modeling inhomogeneous, anisotropic, and dispersive media with random, multilayered, and periodic basic (or gadget) nanostructures as a result of its gains of maximum flexibility and straightforward implementation. It has ended in many new discoveries referring to guided modes in nanoplasmonic waveguides and maintains to draw recognition from researchers around the globe.

Written in a way that's simply digestible to novices and beneficial to pro execs, Computational Nanotechnology utilizing Finite distinction Time area describes the most important innovations of the computational FDTD technique utilized in nanotechnology. The publication discusses the latest and hottest computational nanotechnologies utilizing the FDTD process, contemplating their fundamental merits. It additionally predicts destiny purposes of nanotechnology in technical by way of interpreting the result of interdisciplinary learn carried out through world-renowned experts.

Complete with case reviews, examples, supportive appendices, and FDTD codes available through a better half site, Computational Nanotechnology utilizing Finite distinction Time area not basically can provide a realistic creation to using FDTD in nanotechnology but additionally serves as a worthy reference for academia and execs operating within the fields of physics, chemistry, biology, medication, fabric technology, quantum technological know-how, electric and digital engineering, electromagnetics, photonics, optical technology, desktop technological know-how, mechanical engineering, chemical engineering, and aerospace engineering.

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20) 43 The FDTD Method The fourth-order staggered difference achieves much lower numerical dispersion compared to the second-order staggered difference and shows potential advantages in large-scale electromagnetic simulations. The main pitfalls of the method involve low stability and difficult treatments of inhomogeneous boundaries. The former can be improved by introducing the R-K method or the symplectic integration scheme. The latter can be improved by recently developed high-order conformal and subgridding techniques [14,26–29].

This computational cost motivates research for a more efficient sensitivity estimation approach. The algorithm presented in [36] aims at efficiently estimating the objective function gradient with the FDTD method. 12) where J, ε, σ, and μ are the electric current density, permittivity, conductivity, and permeability, respectively. 13) where Ė and Ë are the first and second time derivatives of the electric field components, respectively. M, N, and K are the symmetric system matrices, and Q is the excitation vector.

Bakr, N. K. Nikolova, and X. Li, “Adjoint sensitivity analysis of dielectric discontinuities using FDTD,” Electromagnetics 27, 123–140 (Feb. 2007). N. K. Nikolova, Ying Li, Yan Li, and M. H. Bakr, “Sensitivity analysis of scattering parameters with electromagnetic time-domain simulators,” IEEE Trans. Microwave Theory Tech. 54, 1598–1610 (Apr. 2006). 42. M. H. Bakr, N. K. Nikolova, and P. A. W. Basl, “Self-adjoint S-parameter sensitivities for lossless homogeneous TLM problems,” Int. J. of Numerical Modelling: Electronic Networks, Devices and Fields 18, 441–455 (Nov.

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Computational Nanotechnology Using Finite Difference Time Domain by Sarhan M. Musa


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