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Predictive Simulation of Semiconductor Processing: Status and Challenges [Hardcover]

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  • Category: Books (Science)
  • ISBN-10:  3540204814
  • ISBN-10:  3540204814
  • ISBN-13:  9783540204817
  • ISBN-13:  9783540204817
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  470
  • Pages:  470
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2004
  • Pub Date:  01-Feb-2004
  • SKU:  3540204814-11-SPRI
  • SKU:  3540204814-11-SPRI
  • Item ID: 100861520
  • List Price: $219.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 17 to Oct 19
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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.

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.

From the reviews:

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. Eleven contributions make up the book; each is supported by a wealth of references. & A valuable reference and guide to have on the shelf for frequent use and study. Certainly, the expertise and research experience of the contributors cannot be questioned. Summing up ... a richly rewarding work. (Current Engineering Practice, Vol. 47 (3), 2004-2005)

J. Dabrowski: Born in Warsaw, Poland, Sept. 29, 1958. PhD,l3

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