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Nanomaterials and Nanotechnology for Composites - Design, Simulation and Applications (Paperback)
Loot Price: R2,449
Discovery Miles 24 490
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Nanomaterials and Nanotechnology for Composites - Design, Simulation and Applications (Paperback)
Expected to ship within 12 - 17 working days
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Engineered nanopolymer and nanoparticles, with their extraordinary
mechanical and unique electronic properties, have garnered much
attention in recent years. With a broad range of potential
applications, including nanoelectronics, composites, chemical
sensors, biosensors, microscopy, nanoelectromechanical systems, and
many more, the scientific community is more motivated than ever to
move beyond basic properties and explore the real issues associated
with carbon nanotube-based applications. Engineered nanopolymer and
nanoparticles are exceptionally interesting from a fundamental
research point of view. They open up new perspectives for various
applications, such as nano-transistors in circuits, field-emission
displays, artificial muscles, or added reinforcements in alloys.
This informative book is an introduction to the physical concepts
needed for investigating carbon nanotubes and other one-dimensional
solid-state systems. Written for a wide scientific readership, each
chapter consists of an instructive approach to the topic and
sustainable ideas for solutions. This new book presents
leading-edge research in this dynamic field. It reviews the recent
progress in application of engineered nanopolymer and nanoparticles
and their composites. The advantages and disadvantages of different
methods are discussed. The ability of continuum methods to bridge
different scales is emphasized. Recommendations for future research
are given by focusing on what each method has to learn from the
nano-scale. The scope of the book is to provide current knowledge
to support researchers entering the scientific area of carbon
nanotubes and help them choose the appropriate modeling tool for
accomplishing their study and where to place their efforts to
further improve continuum methods.
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