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Computational Nanotechnology Using Finite Difference Time Domain

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Author:

Sarhan Musa

Number Of Downloads:

43

Number Of Reads:

7

Language:

English

File Size:

44.29 MB

Category:

Technology

Section:

Pages:

404

Quality:

excellent

Views:

745

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Book Description

The Finite Difference Time Domain (FDTD) method is an essential tool in modeling inhomogeneous, anisotropic, and dispersive media with random, multilayered, and periodic fundamental (or device) nanostructures due to its features of extreme flexibility and easy implementation. It has led to many new discoveries concerning guided modes in nanoplasmonic waveguides and continues to attract attention from researchers across the globe.
Written in a manner that is easily digestible to beginners and useful to seasoned professionals, Computational Nanotechnology Using Finite Difference Time Domain describes the key concepts of the computational FDTD method used in nanotechnology. The book discusses the newest and most popular computational nanotechnologies using the FDTD method, considering their primary benefits. It also predicts future applications of nanotechnology in technical industry by examining the results of interdisciplinary research conducted by world-renowned experts.
Complete with case studies, examples, supportive appendices, and FDTD codes accessible via a companion website, Computational Nanotechnology Using Finite Difference Time Domain not only delivers a practical introduction to the use of FDTD in nanotechnology but also serves as a valuable reference for academia and professionals working in the fields of physics, chemistry, biology, medicine, material science, quantum science, electrical and electronic engineering, electromagnetics, photonics, optical science, computer science, mechanical engineering, chemical engineering, and aerospace engineering.
 
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Sarhan Musa

Sarhan Muhammad Musa is a professor in the Department of Engineering Technology at Prairie View A&M University, Texas. He received his Ph.D. in Electrical Engineering from the City University of New York in 2001. Professor Moses is the founder and director of Prairie View Networking Academy, Texas, since 2004. He is a LTD Sprint and a Boeing Welliver Fellow. Professor Moses is the author of several books on mathematics and engineering. His current research interests include electromagnetic computation, smart grid, imaging and spectroscopy, computational nanotechnology, cybersecurity, and computer networks. EMC (based on document published on February 1, 2018).

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