Low-Complexity Arithmetic Circuit Design in Carbon Nanotube Field Effect Transistor Technology [electronic resource] / by K. Sridharan, B. Srinivasu, Vikramkumar Pudi.
Material type: TextSeries: Carbon NanostructuresPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XVI, 122 p. 51 illus., 22 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030506995Subject(s): Nanotechnology | Nanoscale science | Nanoscience | Nanostructures | Nanotechnology | Nanotechnology and Microengineering | Nanoscale Science and TechnologyAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620.115 LOC classification: T174.7TA418.9.N35Online resources: Click here to access onlineItem type | Current library | Call number | Status | Date due | Barcode |
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Ebooks | Mysore University Main Library | Not for loan |
Introduction -- Basics of CNTFET and Ternary Logic -- CNTFET-Based Circuits for Basic Logic Elements -- CNTFET-Based Design of a Single Ternary Digit Adder -- CNTFET-Based Design of a Multi-Ternary Digit Adder -- CNTFET-Based Design of a Ternary Multiplier -- Simulation Studies -- Automating the Synthesis Process -- The Road Ahead.
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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