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- Author: K Sridharan
- Publisher: Springer
- Year: 2021
- Pages: 122
- ISBN-10: 3030507017
- ISBN-13: 9783030507015
- Format: 15.6 x 23.4 x 0.8 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Low-Complexity Arithmetic Circuit Design in Carbon Nanotube Field Effect Transistor Technology (e-book) (used book) | bookbook.eu
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This book introduces readers to the emerging carbon nanotube field-effect transistor (CNTFET) technology, and examines the problem of designing efficient arithmetic circuits in CNTFET technology. Observing that CNTFETs make it possible to achieve two distinct threshold voltages merely by altering the diameter of the carbon nanotube used, the book begins by discussing the design of basic ternary logic elements. It then examines efficient CNTFET-based design of single and multiple ternary digit adders by judicious choice of unary operators in ternary logic, as well as the design of a ternary multiplier in CNTFET technology, and presents detailed simulation results in HSPICE. Lastly, the book outlines a procedure for automating the synthesis process and provides sample code in Python.
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- Author: K Sridharan
- Publisher: Springer
- Year: 2021
- Pages: 122
- ISBN-10: 3030507017
- ISBN-13: 9783030507015
- Format: 15.6 x 23.4 x 0.8 cm, softcover
- Language: English English
This book introduces readers to the emerging carbon nanotube field-effect transistor (CNTFET) technology, and examines the problem of designing efficient arithmetic circuits in CNTFET technology. Observing that CNTFETs make it possible to achieve two distinct threshold voltages merely by altering the diameter of the carbon nanotube used, the book begins by discussing the design of basic ternary logic elements. It then examines efficient CNTFET-based design of single and multiple ternary digit adders by judicious choice of unary operators in ternary logic, as well as the design of a ternary multiplier in CNTFET technology, and presents detailed simulation results in HSPICE. Lastly, the book outlines a procedure for automating the synthesis process and provides sample code in Python.
Reviews