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Computational Nanotechnology - Modeling and Applications with MATLAB (R) (Paperback)
Loot Price: R2,294
Discovery Miles 22 940
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Computational Nanotechnology - Modeling and Applications with MATLAB (R) (Paperback)
Series: Nano and Energy
Expected to ship within 12 - 17 working days
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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 (R) 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.
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