Nanoscale MOS transistors : semi-classical transport and applications / David Esseni, Pierpaolo Palestri, Luca Selmi.
By: Esseni, D. (David).
Contributor(s): Palestri, P. (Pierpaolo) | Selmi, L. (Luca).Material type: TextPublisher: Cambridge ; New York : Cambridge University Press, c2011Description: xvii, 470 p. : ill. ; 26 cm.ISBN: 9780521516846 (hardback); 0521516846.Subject(s): Metal oxide semiconductors -- Design and construction | Electron transport | NanoelectronicsDDC classification: 004.53 Other classification: TEC008080 Online resources: WorldCat details | E-book Fulltext
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Includes bibliographical references and index.
Table of contents 1. Introduction; 2. Bulk semiconductors and the semi-classical model; 3. Quantum confined inversion layers; 4. Carrier scattering in silicon MOS transistors; 5. The Boltzmann transport equation; 6. The Monte Carlo method for the Boltzmann transport equation; 7. Simulation of bulk and SOI silicon MOSFETs; 8. MOS transistors with arbitrary crystal orientation; 9. MOS transistors with strained silicon channels; 10. MOS transistors with alternative materials; Appendix A. Mathematical definitions and properties; Appendix B. Integrals and transformations over a finite area A; Appendix C. Calculation of the equi-energy lines with the k-p model; Appendix D. Matrix elements beyond the envelope function approximation; Appendix E. Charge density produced by a perturbation potential.
"Written from an engineering standpoint, this book provides the theoretical background and physical insight needed to understand new and future developments in the modeling and design of n- and p-MOS nanoscale transistors. A wealth of applications, illustrations and examples connect the methods described to all the latest issues in nanoscale MOSFET design. Key areas covered include: Transport in arbitrary crystal orientations and strain conditions, and new channel and gate stack materials All the relevant transport regimes, ranging from low field mobility to quasi-ballistic transport, described using a single modeling framework Predictive capabilities of device models, discussed with systematic comparisons to experimental results"--
Computer Science & Engineering