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Books > Professional & Technical > Technology: general issues > Nanotechnology

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Experimental Characterization, Predictive Mechanical and Thermal Modeling of Nanostructures and Their Polymer Composites (Hardcover) Loot Price: R4,163
Discovery Miles 41 630
You Save: R441 (10%)
Experimental Characterization, Predictive Mechanical and Thermal Modeling of Nanostructures and Their Polymer Composites...

Experimental Characterization, Predictive Mechanical and Thermal Modeling of Nanostructures and Their Polymer Composites (Hardcover)

Francesco Marotti De Sciarra, Pietro Russo

Series: Micro & Nano Technologies

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List price R4,604 Loot Price R4,163 Discovery Miles 41 630 | Repayment Terms: R390 pm x 12* You Save R441 (10%)

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Experimental Characterization, Predictive Mechanical and Thermal Modeling of Nanostructures and Their Polymer Composite focuses on the recent observations and predictions regarding the size-dependent mechanical properties, material properties and processing issues of carbon nanotubes (CNTs) and other nanostructured materials. The book takes various approaches, including dedicated characterization methods, theoretical approaches and computer simulations, providing a detailed examination of the fundamental mechanisms governing the deviations of the properties of CNTs and other nanostructured materials. The book explores their applications in materials science, mechanics, engineering, chemistry and physics due to their unique and appealing properties. The use of such materials is, however, still largely limited due to the difficulty in tuning their properties and morphological and structural features.

General

Imprint: Elsevier - Health Sciences Division
Country of origin: United States
Series: Micro & Nano Technologies
Release date: March 2018
First published: 2018
Editors: Francesco Marotti De Sciarra • Pietro Russo
Dimensions: 235 x 191mm (L x W)
Format: Hardcover
Pages: 342
ISBN-13: 978-0-323-48061-1
Categories: Books > Professional & Technical > Technology: general issues > Nanotechnology
LSN: 0-323-48061-6
Barcode: 9780323480611

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