Predictive simulation of semiconductor processing : status and challenges
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Bibliographic Information
Predictive simulation of semiconductor processing : status and challenges
（Springer series in materials science, v. 72）
Springer-Verlag, c2004
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Includes bibliographical references and index
Description and Table of Contents
Description
Predictive Simulation of Semiconductor Processing enables researchers and developers to extend the scaling range of semiconductor devices beyond the parameter range of empirical research. It requires a thorough understanding of the basic mechanisms employed in device fabrication, such as diffusion, ion implantation, epitaxy, defect formation and annealing, and contamination. This book presents an in-depth discussion of our current understanding of key processes and identifies areas that require further work in order to achieve the goal of a comprehensive, predictive process simulation tool.
Table of Contents
1 Transistors and Atoms.- 2 Atomistic Simulations of Processes at Surfaces.- 3 Atomistic Simulations in Materials Processing.- 4 Atomistic Simulation of Decanano MOSFETs.- 5 Modeling and Simulation of Heterojunction Bipolar Transistors.- 6 Gate Oxide Reliability: Physical and Computational Models.- 7 High-K Dielectrics: The Example of Pr2O3.- 8 Atomistic Simulation of Si3N4 CVD from Dichlorosilane and NH3.- 9 Interconnects and Propagation of High Frequency Signals.- 10 Modeling of Electromigration in Interconnects.- 11 Predictive Modeling of Transition Metal Gettering: Applications and Materials Science Challenges.
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