Musa Computational Nanotechnology

Modeling and Applications with MATLAB®
1. Auflage 2011
ISBN: 978-1-4398-4177-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 537 Seiten

Reihe: Nano and Energy

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.

Zielgruppe

Professionals, researchers, and students in engineering, physics, chemistry, biology, and medicine, among other fields

Autoren/Hrsg.

Musa, Sarhan M.

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Naturwissenschaften Physik Angewandte Physik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Technische Wissenschaften Technik Allgemein Nanotechnologie
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software

Inhaltsverzeichnis

Introduction to Computational Methods in Nanotechnology, O. Ciftja and S.M. Musa
Computational Modeling of Nanoparticles, U. Riaz and S.M. Ashraf
Micromagnetics: Finite Element Analysis of Nano- Sized Magnetic Materials Using MATLAB®, S.-L. Chin and T. Flack
System-Level Modeling of N/MEMS, J.V. Clark
Numerical Integrator for Continuum Equations of Surface Growth and Erosion, A. Keller, S. Facsko, and R. Cuerno
Configuration Optimizations and Photophysics Simulations of Single-Wall Nanotubes of Carbon, Silicon-Carbide, and Carbon-Nitride, W.-D. Cheng, C.-S. Lin, G.-L. Chai, and S.-P. Huang
MATLAB® Applications in Behavior Analysis of Systems Consisting of Carbon Nanotubes through Molecular Dynamics Simulation, M. Foroutan and S. Khoee
Device and Circuit Modeling of Nano-CMOS, M.L.P. Tan, D.C.Y. Chek, and V.K. Arora
Computational and Experimental Approaches to Cellular and Subcellular Tracking at the Nanoscale, Z. Al-Rekabi, D. Tremblay, K. Haase, R.L. Leask, and A.E. Pelling
Computational Simulations of Nanoindentation and Nanoscratch, C.-D. Wu, T.-H. Fang, and J.-F. Lin
Modeling of Reversible Protein Conjugation on Nanoscale Surface, K. Yokoyama
Computational Technology in Nanomedicine, V. Wiwanitkit
Future Directions: Opportunities and Challenges, G.C. Giakos


Appendix A: Material and Physical Constants
Appendix B: Symbols and Formulas
Appendix C: MATLAB®

Über Autor(innen)

Sarhan Musa received his Ph.D. in electrical engineering in 2001 from City University of New York. He is currently an associate professor in the engineering technology department of Prairie View A&M University, Texas. From 2009 to 2010, Dr. Musa was a visiting professor in the department of electrical computer engineering and also worked in the Nanoelectronic Systems Laboratory (NSL) at Rice University, Texas. His research interests include computational methods in nanotechnology, numerical modeling of electromagnetic systems, and computer communication networks. He currently serves on the Editorial Board of Journal of Modern Applied Science, and he is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He is also a 2010 Boeing Welliver Fellow.