Computational Modeling in Semiconductor Processing

Computational Modeling in Semiconductor Processing
Author: M. Meyyappan
Publisher: Artech House Publishers
Total Pages: 388
Release: 1995
Genre: Computers
ISBN:

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This book provides you with in-depth coverage of the models, governing equations, and numerical techniques suitable for process simulation -- so you can give your designs the competitive edge. You will understand the basic principles of transport phenomena, gas phase, and surface reactions in electronics material processing, and learn practical numerical techniques used in process simulations.


Computational Modeling in Semiconductor Processing
Language: en
Pages: 388
Authors: M. Meyyappan
Categories: Computers
Type: BOOK - Published: 1995 - Publisher: Artech House Publishers

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This book provides you with in-depth coverage of the models, governing equations, and numerical techniques suitable for process simulation -- so you can give yo
Modelling and Simulation in Semiconductor Processing
Language: en
Pages: 6
Authors: Tomás Diaz Delarubia
Categories:
Type: BOOK - Published: 1998 - Publisher:

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Semiconductor Modeling:
Language: en
Pages: 769
Authors: Roy Leventhal
Categories: Technology & Engineering
Type: BOOK - Published: 2007-01-10 - Publisher: Springer Science & Business Media

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Discusses process variation, model accuracy, design flow and many other practical engineering, reliability and manufacturing issues Gives a good overview for a
Simulation of Semiconductor Devices and Processes
Language: en
Pages: 515
Authors: Heiner Ryssel
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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SISDEP ’95 provides an international forum for the presentation of state-of-the-art research and development results in the area of numerical process and devi
Advances in Modeling and Simulation
Language: en
Pages: 359
Authors: Andreas Tolk
Categories: Computers
Type: BOOK - Published: 2017-08-27 - Publisher: Springer

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​This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of pre