Computational Nanotechnology: Modeling and Applications with MATLAB®, 1st Edition (Paperback) book cover

Computational Nanotechnology

Modeling and Applications with MATLAB®, 1st Edition

Edited by Sarhan M. Musa

CRC Press

537 pages | 281 B/W Illus.

Purchasing Options:$ = USD
Paperback: 9781138073456
pub: 2017-10-12
SAVE ~$16.59
$82.95
$66.36
x
Hardback: 9781439841761
pub: 2011-07-26
SAVE ~$44.00
$220.00
$176.00
x
eBook (VitalSource) : 9781315217567
pub: 2018-09-03
from $40.00


FREE Standard Shipping!

Description

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.

Table of Contents

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®

About the Editor

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.

About the Series

Nano and Energy

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
SCI055000
SCIENCE / Physics
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC021000
TECHNOLOGY & ENGINEERING / Material Science
TEC027000
TECHNOLOGY & ENGINEERING / Nanotechnology & MEMS