Computational Nanotechnology Using Finite Difference Time Domain

Computational Nanotechnology Using Finite Difference Time Domain पीडीएफ

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अधिसूचना

साइट अपडेट होने के कारण, अपडेट पूरा होने तक डाउनलोड अस्थायी रूप से रोक दिया जाएगापर्क करें [email protected]

Sarhan Muhammad Musa 是德克萨斯州 Prairie View A&M 大学工程技术系的教授。 他获得了博士学位。 2001 年获得纽约城市大学电气工程博士学位。自 2004 年以来,Moses 教授是德克萨斯州草原景观网络学院的创始人和主任。他是 LTD Sprint 和波音 Welliver 研究员。 摩西教授是几本关于数学和工程的书籍的作者。 他目前的研究兴趣包括电磁计算、智能电网、成像和光谱学、计算纳米技术、网络安全和计算机网络。 EMC(基于 2018 年 2 月 1 日发布的文件)。

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Computational Nanotechnology Using Finite Difference Time Domain पीडीएफ सरहान एम मूसा

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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