Optimal Device Design

Inbunden, Engelska, 2009

1 629 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2009-12-24
Mått:180 x 254 x 19 mm
Vikt:732 g
Format:Inbunden
Språk:Engelska
Antal sidor:294
Förlag:Cambridge University Press
ISBN:9780521116602

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

A. F. J. Levi is Professor of Electrical Engineering and of Physics and Astronomy at the University of Southern California. He joined USC after working for 10 years at AT&T Bell Labs, New Jersey. Professor Levi is the author of the book Applied Quantum Mechanics, Second Edition (Cambridge University Press, 2006). Stephan Haas is Professor of Theoretical Condensed Matter Physics at the University of Southern California.

Innehållsförteckning

Preface; Acknowledgements; 1. Frontiers in device engineering Philip Seliger and A. F. J. Levi; 2. Atoms-up design Stephan Haas; 3. Electron devices and electron transport K. Magruder, Philip Seliger, and A. F. J. Levi; 4. Aperiodic dielectric design Philip Seliger; 5. Design at the classical-quantum boundary Rodrigo Muniz and Stephan Haas; 6. Robust optimization in high dimensions Omid Nohadani and Dimitris Bertsimas; 7. Mathematical framework for optimal design I. G. Rosen and C. Wang; 8. Future directions A. F. J. Levi; Appendix A; About the authors; Index.