Computational Nanotechnology Modeling and Applications with MATLAB

Computational Nanotechnology Modeling and Applications with MATLAB पुस्तक पीडीएफ डाउनलोड करें







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यदि आपको पुस्तक प्रकाशित करने पर आपत्ति है तो कृपया हमसे संपर्क 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 Modeling and Applications with MATLAB पुस्तक पीडीएफ को पढ़ें और डाउनलोड करें सरहान एम मूसा

Applications of nanotechnology continue to fuel significant innovations in areas ranging from electronics, microcomputing, and biotechnology to medicine, consumer supplies, aerospace, and energy production. As progress in nanoscale science and engineering leads to the continued development of advanced materials and new devices, improved methods of modeling and simulation are required to achieve a more robust quantitative understanding of matter at the nanoscale. Computational Nanotechnology: Modeling and Applications with MATLAB® provides expert insights into current and emerging methods, opportunities, and challenges associated with the computational techniques involved in nanoscale research. Written by, and for, those working in the interdisciplinary fields that comprise nanotechnology—including engineering, physics, chemistry, biology, and medicine—this book covers a broad spectrum of technical information, research ideas, and practical knowledge. It presents an introduction to computational methods in nanotechnology, including a closer look at the theory and modeling of two important nanoscale systems: molecular magnets and semiconductor quantum dots. Topics covered include: Modeling of nanoparticles and complex nano and MEMS systems Theory associated with micromagnetics Surface modeling of thin films Computational techniques used to validate hypotheses that may not be accessible through traditional experimentation Simulation methods for various nanotubes and modeling of carbon nanotube and silicon nanowire transistors In regard to applications of computational nanotechnology in biology, contributors describe tracking of nanoscale structures in cells, effects of various forces on cellular behavior, and use of protein-coated gold nanoparticles to better understand protein-associated nanomaterials. Emphasizing the importance of MATLAB for biological simulations in nanomedicine, this wide-ranging survey of computational nanotechnology concludes by discussing future directions in the field, highlighting the importance of the algorithms, modeling software, and computational tools in the development of efficient nanoscale systems.

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