Theoretical And Computational Nanotechnology

Nanoscience is one of the most exciting scientific disciplines as it is concerned with materials and systems, which exhibit novel and significantly improved physical, chemical and biological properties due to their small nanoscale size. It stretches across the whole spectrum of modern science including medicine and health, physics, engineering and chemistry. Providing a deep understanding of the behaviour of matter at the scale of individual atoms and molecules, it takes a crucial step towards future applications of nanotechnology. The remarkable improvements in both theoretical methods and computational techniques make it possible for computational nanoscience to achieve a new level of accuracy. Computational nanoscience is now a discipline capable of leading and guiding experimental efforts. Computational Nanoscience addresses modern challenges in computational science, within the context of the rapidly evolving field of nanotechnology. It satisfies the need for a comprehensive, yet concise and up-to-date, survey of new developments and applications presented by the world's leading academics. It documents major, recent advances in scientific computation, mathematical models and theory development that specifically target the applications in nanotechnology. Suitable for theoreticians, experimental researchers and students, the book shows readers what computational nanoscience can achieve, and how it may be applied in their own work. The twelve chapters cover topics including the concepts behind recent breakthroughs in nanoscience, the development of cutting edge simulation tools, and the variety of new applications.

Volume 1: Basic Concepts, Nanomachines and Bionanodevices; Volume 2: Atomistic Simulations - Algorithms and Methods; Volume 3: Quantum and Molecular Computing, and Quantum Simulations; Volume 4: Nanomechanics and Multiscale Modeling; Volume 5: Transport Phenomena and Nanoscale Processes; Volume 6: Bioinformatics, Nanomedicine and Drug Delivery; Volume 7: Magnetic Nanostructures and Nano-optics; Volume 8: Functional Nanomaterials, Nanoparticles and Polymer Nanostructures; Volume 9: Nanocomposites, Nano-Assemblies, and Nanosurfaces; Volume 10: Nanodevice Modeling and Nanoelectronics.

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.