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Theoretical foundations of nanoscale quantum devices/ Malin Premaratne and Govind P. Agrawal

By: Contributor(s): Publication details: Cambridge: CUP, 2021Description: x, 285 pages: diagrams; 26 cmISBN:
  • 9781108475662
Subject(s): DDC classification:
  • 23rd  621.365 P925
Contents:
Introduction -- Quantum-Mechanical Framework -- Linear Response Theory -- Dissipation and Decoherence -- Quantum Current Flow -- Quantum Tunneling -- Quantum Noise
Summary: This book provides a comprehensive theoretical framework for understanding and modeling nanodevices operating in the quantum regime. It is designed for graduate students and researchers in physics, chemistry, electrical engineering, and materials science. The authors emphasize the development of approximate quantum models for real nanodevices, introducing the necessary mathematical tools and concepts with detailed derivations and worked examples. Advanced applications are gradually introduced, along with analytical approximations and simplifying assumptions to make complex problems tractable while remaining representative of observed phenomena.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 621.365 P925 (Browse shelf(Opens below)) Available 138773
Total holds: 0

Includes bibliography and index

Introduction -- Quantum-Mechanical Framework -- Linear Response Theory -- Dissipation and Decoherence -- Quantum Current Flow -- Quantum Tunneling -- Quantum Noise

This book provides a comprehensive theoretical framework for understanding and modeling nanodevices operating in the quantum regime. It is designed for graduate students and researchers in physics, chemistry, electrical engineering, and materials science. The authors emphasize the development of approximate quantum models for real nanodevices, introducing the necessary mathematical tools and concepts with detailed derivations and worked examples. Advanced applications are gradually introduced, along with analytical approximations and simplifying assumptions to make complex problems tractable while remaining representative of observed phenomena.

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