Stock image for illustration purposes only - book cover, edition or condition may vary.
Monte Carlo Device Simulation
Karl . Ed(S): Hess
€ 181.68
FREE Delivery in Ireland
Description for Monte Carlo Device Simulation
Paperback. Editor(s): Hess, Karl. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 310 pages, biography. BIC Classification: PNFS; THR; UYA. Category: (G) General (US: Trade). Dimension: 235 x 155 x 17. Weight in Grams: 498.
Monte Carlo simulation is now a well established method for studying semiconductor devices and is particularly well suited to highlighting physical mechanisms and exploring material properties. Not surprisingly, the more completely the material properties are built into the simulation, up to and including the use of a full band structure, the more powerful is the method. Indeed, it is now becoming increasingly clear that phenomena such as reliabil ity related hot-electron effects in MOSFETs cannot be understood satisfac torily without using full band Monte Carlo. The IBM simulator DAMOCLES, therefore, represents a landmark of great significance. DAMOCLES sums up the ... Read more
Monte Carlo simulation is now a well established method for studying semiconductor devices and is particularly well suited to highlighting physical mechanisms and exploring material properties. Not surprisingly, the more completely the material properties are built into the simulation, up to and including the use of a full band structure, the more powerful is the method. Indeed, it is now becoming increasingly clear that phenomena such as reliabil ity related hot-electron effects in MOSFETs cannot be understood satisfac torily without using full band Monte Carlo. The IBM simulator DAMOCLES, therefore, represents a landmark of great significance. DAMOCLES sums up the ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
310
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
310
Place of Publication
New York, NY, United States
ISBN
9781461368007
SKU
V9781461368007
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Monte Carlo Device Simulation