537 pages | 281 B/W Illus.
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:
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.
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®