Quantum Transport in Interacting Nanojunctions : A Density Matrix Approach
2024 ed.
Book Details
Format
Paperback / Softback
Book Series
Lecture Notes in Physics
ISBN-10
3031556186
ISBN-13
9783031556180
Edition
2024 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 13th, 2024
Print length
574 Pages
Product Classification:
Condensed matter physics (liquid state & solid state physics)Condensed matter physics (liquid state and solid state physics)Quantum physics (quantum mechanics & quantum field theory)Quantum physics (quantum mechanics and quantum field theory)Statistical physicsChemistryMechanical engineeringMaterials scienceOther technologies & applied sciencesOther technologies and applied sciences
Ksh 13,500.00
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This book serves as an introduction to the growing field of quantum many-body transport in interacting nanojunctions.
This book serves as an introduction to the growing field of quantum many-body transport in interacting nanojunctions. It delves into a theoretical approach based on a general density-matrix formulation for open quantum systems. In the book, relevant transport observables, like the current or its higher order cumulants, are obtained by evaluating quantum statistical averages. This approach requires the knowledge of the reduced density matrix of the interacting nanosystems. The formulation for addressing transport problems, based on the evolution of the reduced density operator in Liouville space, is highly versatile. It enables the treatment of charge and spin transport across various realistic nanostructures. Topics encompass standard Coulomb blockade, cotunneling phenomena in quantum dots, vibrational and Franck-Condon effects in molecular junctions, as well as many-body interference observed in double quantum dots or carbon nanotubes. Derived from lectures tailored for graduate and advanced students at the University of Regensburg in Germany, this book is enriched with exercises and step-by-step derivations.
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