Hierarchical Device Simulation: The Monte-Carlo Perspective

Author:   Christoph Jungemann ,  Bernd Meinerzhagen
Publisher:   Springer Verlag GmbH
Edition:   Softcover reprint of the original 1st ed. 2003
ISBN:  

9783709172261


Pages:   261
Publication Date:   05 September 2012
Format:   Paperback
Availability:   In Print   Availability explained
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Hierarchical Device Simulation: The Monte-Carlo Perspective


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Overview

This book summarizes the research of more than a decade. Its early motivation dates back to the eighties and to the memorable talks Dr. C. Moglestue (FHG Freiburg) gave on his Monte-Carlo solutions of the Boltzmann transport equation at the NASECODE conferences in Ireland. At that time numerical semiconductor device modeling basically implied the application of the drift-diffusion model. On the one hand, those talks clearly showed the potential of the Monte-Carlo model for an accurate description of many important transport issues that cannot adequately be addressed by the drift-diffusion approximation. On the other hand, they also clearly demonstrated that at that time only very few experts were able to extract useful results from a Monte-Carlo simulator. With this background, Monte-Carlo research activities were started in 1986 at the University of Aachen (RWTH Aachen), Germany. Different to many other Monte-Carlo research groups, the Monte-Carlo research in Aachen took place in an environment of active drift-diffusion and hydrodynamic model development.

Full Product Details

Author:   Christoph Jungemann ,  Bernd Meinerzhagen
Publisher:   Springer Verlag GmbH
Imprint:   Springer Verlag GmbH
Edition:   Softcover reprint of the original 1st ed. 2003
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.433kg
ISBN:  

9783709172261


ISBN 10:   3709172268
Pages:   261
Publication Date:   05 September 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction.- References.- 2 Semiclassical Transport Theory.- 2.1 The Boltzmann Transport Equation.- 2.2 Balance Equations.- 2.3 The Microscopic Relaxation Time.- 2.4 Fluctuations in the Steady-State 25 References.- 3 The Monte-Carlo Method.- 3.1 Basic Monte-Carlo Methods.- 3.2 The Monte-Carlo Solver of the Boltzmann Equation.- 3.3 Velocity Autocorrelation Function.- 3.4 Basic Statistics.- 3.5 Convergence Estimation.- References.- 4 Scattering Mechanisms.- 4.1 Phonon Scattering.- 4.2 Alloy Scattering.- 4.3 Impurity Scattering.- 4.4 Impact Ionization by Electrons.- 4.5 Surface Roughness Scattering.- References.- 5 Full-Band Structure.- 5.1 Basic Properties of the Band Structure of Relaxed Silicon.- 5.2 Basic Properties of the Band Structure of Strained SiGe.- 5.3 k-Space Grid.- 5.4 Calculation of the Density of States.- 5.5 Mass Tensor Evaluation.- 5.6 Particle Motion in Phase-Space.- 5.7 Selection of a Final State in k-Space.- References.- 6 Device Simulation.- 6.1 Device Discretization.- 6.2 Band Edges.- 6.3 Poisson Equation.- 6.4 Self-Consistent Device Simulation.- 6.5 Nonlinear Poisson Equation.- 6.6 Nonself-Consistent Device Simulation.- 6.7 Statistical Enhancement.- 6.8 Terminal Current Estimation.- 6.9 Contact Resistance.- 6.10 Normalization of Physical Quantities.- References.- 7 Momentum-Based Transport Models.- 7.1 The Hydrodynamic Model.- 7.2 Small-Signal Analysis.- 7.3 Noise Analysis.- 7.4 The Drift-Diffusion Model.- 7.5 Transport and Noise Parameter Simulation.- References.- 8 Stochastic Properties of Monte-Carlo Device Simulations.- 8.1 Stochastic Error.- 8.2 In-Advance CPU Time Estimation.- References.- 9 Results.- 9.1 N+NN+ and P+PP+ Structures.- 9.2 MOSFETs.- 9.3 SiGe HBTs.- References.

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