Hierarchical Device Simulation: The Monte-Carlo Perspective
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 sem...
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Vienna
Springer Vienna
2003
|
| Schriftenreihe: | Computational Microelectronics
|
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XVI, 261 p) |
| ISBN: | 9783709160862 |
| DOI: | 10.1007/978-3-7091-6086-2 |
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| illustrated | Not Illustrated |
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| institution | BVB |
| isbn | 9783709160862 |
| language | English |
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| spelling | Jungemann, Christoph Verfasser aut Hierarchical Device Simulation The Monte-Carlo Perspective by Christoph Jungemann, Bernd Meinerzhagen Vienna Springer Vienna 2003 1 Online-Ressource (XVI, 261 p) txt rdacontent c rdamedia cr rdacarrier Computational Microelectronics 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 Engineering Electronics and Microelectronics, Instrumentation Science, general Engineering, general Optical and Electronic Materials Numerical and Computational Physics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Science Physics Statistics Electronics Microelectronics Optical materials Electronic materials Siliciumbauelement (DE-588)4181368-6 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 s Siliciumbauelement (DE-588)4181368-6 s 1\p DE-604 Meinerzhagen, Bernd aut Erscheint auch als Druck-Ausgabe 9783709172261 https://doi.org/10.1007/978-3-7091-6086-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Jungemann, Christoph Meinerzhagen, Bernd Hierarchical Device Simulation The Monte-Carlo Perspective Engineering Electronics and Microelectronics, Instrumentation Science, general Engineering, general Optical and Electronic Materials Numerical and Computational Physics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Science Physics Statistics Electronics Microelectronics Optical materials Electronic materials Siliciumbauelement (DE-588)4181368-6 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| subject_GND | (DE-588)4181368-6 (DE-588)4240945-7 |
| title | Hierarchical Device Simulation The Monte-Carlo Perspective |
| title_auth | Hierarchical Device Simulation The Monte-Carlo Perspective |
| title_exact_search | Hierarchical Device Simulation The Monte-Carlo Perspective |
| title_full | Hierarchical Device Simulation The Monte-Carlo Perspective by Christoph Jungemann, Bernd Meinerzhagen |
| title_fullStr | Hierarchical Device Simulation The Monte-Carlo Perspective by Christoph Jungemann, Bernd Meinerzhagen |
| title_full_unstemmed | Hierarchical Device Simulation The Monte-Carlo Perspective by Christoph Jungemann, Bernd Meinerzhagen |
| title_short | Hierarchical Device Simulation |
| title_sort | hierarchical device simulation the monte carlo perspective |
| title_sub | The Monte-Carlo Perspective |
| topic | Engineering Electronics and Microelectronics, Instrumentation Science, general Engineering, general Optical and Electronic Materials Numerical and Computational Physics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Science Physics Statistics Electronics Microelectronics Optical materials Electronic materials Siliciumbauelement (DE-588)4181368-6 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| topic_facet | Engineering Electronics and Microelectronics, Instrumentation Science, general Engineering, general Optical and Electronic Materials Numerical and Computational Physics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Science Physics Statistics Electronics Microelectronics Optical materials Electronic materials Siliciumbauelement Monte-Carlo-Simulation |
| url | https://doi.org/10.1007/978-3-7091-6086-2 |
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