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.

chapter 1|28 pages

Introduction to Computational Methods in Nanotechnology

ByOrion Ciftja, Sarhan M. Musa

chapter 2|46 pages

Computational Modeling of Nanoparticles

ByUfana Riaz, S.M. Ashraf

chapter 3|22 pages

Micromagnetics: Finite Element Analysis of Nano-Sized Magnetic Materials Using MATLAB®

ByShin-Liang Chin, Flack Timothy

chapter 4|92 pages

System-Level Modeling of N/MEMS

ByJason Vaughn Clark

chapter 5|28 pages

Numerical Integrator for Continuum Equations of Surface Growth and Erosion

ByAdrian Keller, Stefan Facsko, Rodolfo Cuerno

chapter 8|32 pages

Device and Circuit Modeling of Nano-CMOS

ByMichael L.P. Tan, Desmond C.Y. Chek, Vijay K. Arora

chapter 9|30 pages

Computational and Experimental Approaches to Cellular and Subcellular Tracking at the Nanoscale

ByZeinab Al-Rekabi, Dominique Tremblay, Kristina Haase, Richard L. Leask, Andrew E. Pelling

chapter 10|18 pages

Computational Simulations of Nanoindentation and Nanoscratch

ByCheng-Da Wu, Te-Hua Fang, Jen-Fin Lin

chapter 11|30 pages

Modeling of Reversible Protein Conjugation on Nanoscale Surface

ByKazushige Yokoyama

chapter 12|18 pages

Computational Technology in Nanomedicine

ByViroj Wiwanitkit

chapter 13|21 pages

Future Directions: Opportunities and Challenges

ByGeorge C. Giakos