National Science Library of Georgia

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Optimal device design / edited by A.F.J. Levi, S. Haas.

Contributor(s): Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2010Description: 1 online resource (xi, 282 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511691881 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 658.5/752 22
LOC classification:
  • TS171 .O78 2010
Online resources:
Contents:
Frontiers in device engineering -- Atoms-up design -- Electron devices and electron transport -- Aperiodic dielectric design -- Design at the classical-quantum boundary -- Robust optimization in high dimensions -- Mathematical framework for optimal design -- Future directions -- Global optimization algorithms.
Summary: Explore the frontier of device engineering by applying optimization to nanoscience and device design. This cutting-edge work shows how robust, manufacturable designs that meet previously unobtainable system specifications can be created using a combination of modern computer power, adaptive algorithms, and realistic device-physics models. Applying this method to nanoscience is a path to creating new devices with new functionality, and it could be the key design element in making nanoscience a practical technology. Basic introductory examples along with MATLAB code are included, through to more formal and sophisticated approaches, and specific applications and designs are examined. Essential reading for researchers and engineers in electronic devices, nanoscience, materials science, applied mathematics, and applied physics.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Frontiers in device engineering -- Atoms-up design -- Electron devices and electron transport -- Aperiodic dielectric design -- Design at the classical-quantum boundary -- Robust optimization in high dimensions -- Mathematical framework for optimal design -- Future directions -- Global optimization algorithms.

Explore the frontier of device engineering by applying optimization to nanoscience and device design. This cutting-edge work shows how robust, manufacturable designs that meet previously unobtainable system specifications can be created using a combination of modern computer power, adaptive algorithms, and realistic device-physics models. Applying this method to nanoscience is a path to creating new devices with new functionality, and it could be the key design element in making nanoscience a practical technology. Basic introductory examples along with MATLAB code are included, through to more formal and sophisticated approaches, and specific applications and designs are examined. Essential reading for researchers and engineers in electronic devices, nanoscience, materials science, applied mathematics, and applied physics.

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