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Computational Methods for Nanoscale Applications: Particles, Plasmons and Waves: Nanostructure Science and Technology

Autor Igor Tsukerman
en Limba Engleză Hardback – 18 dec 2007
Computational Methods for Nanoscale Applications: Particles, Plasmons and Waves presents new perspectives on modern nanoscale problems where fundamental science meets technology and computer modeling. This book describes well-known computational techniques such as finite-difference schemes, finite element analysis and Ewald summation, as well as a new finite-difference calculus of Flexible Local Approximation MEthods (FLAME) that qualitatively improves the numerical accuracy in a variety of problems. Application areas in the book include long-range particle interactions in homogeneous and heterogeneous media, electrostatics of colloidal systems, wave propagation in photonic crystals, photonic band structure, plasmon field enhancement, and metamaterials with backward waves and negative refraction.
Computational Methods for Nanoscale Applications is accessible to specialists and graduate students in diverse areas of nanoscale science and technology, includingphysics, engineering, chemistry, and applied mathematics. In addition, several advanced topics will be of particular interest to the expert reader.
Key Features:
  • Utilizes a two-tiered style of exposition with intuitive explanation of key principles in the first tier and further technical details in the second
  • Bridges the gap between physics and engineering and computer science
  • Presents fundamentals and applications of computational methods, electromagnetic theory, colloidal systems and photonic structures
  • Covers "hot topics" in photonics, plasmonics, and metamaterials.
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Specificații

ISBN-13: 9780387747774
ISBN-10: 038774777X
Pagini: 532
Ilustrații: XVI, 532 p.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.94 kg
Ediția:2008
Editura: Springer
Colecția Springer
Seria Nanostructure Science and Technology

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Finite-Difference Schemes.- The Finite Element Method.- Flexible Local Approximation MEthods (FLAME).- Long-Range Interactions in Free Space.- Long-Range Interactions in Heterogeneous Systems.- Applications in Nano-Photonics.- Conclusion: “Plenty of Room at the Bottom” for Computational Methods.

Textul de pe ultima copertă

Computational Methods for Nanoscale Applications: Particles, Plasmons and Waves presents new perspectives on modern nanoscale problems where fundamental science meets technology and computer modeling. This book describes well-known computational techniques such as finite-difference schemes, finite element analysis and Ewald summation, as well as a new finite-difference calculus of Flexible Local Approximation MEthods (FLAME) that qualitatively improves the numerical accuracy in a variety of problems. Application areas in the book include long-range particle interactions in homogeneous and heterogeneous media, electrostatics of colloidal systems, wave propagation in photonic crystals, photonic band structure, plasmon field enhancement, and metamaterials with backward waves and negative refraction.
Computational Methods for Nanoscale Applications is accessible to specialists and graduate students in diverse areas of nanoscale science and technology, includingphysics, engineering, chemistry, and applied mathematics. In addition, several advanced topics will be of particular interest to the expert reader.
Key Features:
  • Utilizes a two-tiered style of exposition with intuitive explanations of key principles in the first tier and further technical details in the second
  • Bridges the gap between physics and engineering and computer science
  • Presents fundamentals and applications of computational methods, electromagnetic theory, colloidal systems and photonic structures
  • Covers "hot topics" in photonics, plasmonics, and metamaterials.

Caracteristici

Utilizes a two-tiered style of exposition: intuitive explanation of key principles in the first tier and further technical details in the second Bridges the gap between physics and engineering and computer science Presents the fundamentals of computational methods, electromagnetic theory, colloidal systems and photonic structures together with applications Covers "hot topics" in photonics, plasmonics, and metamaterials

Recenzii

“The book is primarily addressed to computational material scientists. The level of intended readers ranges from graduate students, with a solid background in electromagnetism, to experienced researchers … . The style of presentation is lucid and not overloaded with mathematical rigor, which is definitely an advantage, given the intended audience. … The typesetting and editing have been done with care.” (Radosław Szmytkowski, zbMATH 1494.78003, 2022)

Notă biografică

Igor Tsukerman is Professor of Electrical and Computer Engineering at the University of Akron, Ohio, where he has been a faculty member since 1995. His research is focused on the simulation of nanoscale systems, applied electromagnetics and photonics, plasmonics, computational methods, and nonlocal homogenization of materials. He teaches a variety of undergraduate and graduate courses (Signals & Systems, Circuits, Electromagnetic Fields, Digital Signal Processing, Random Signal Analysis, Simulation of Nanoscale Systems, and others). Tsukerman has approximately 150 refereed publications, has authored a monograph (Computational Methods for Nanoscale Applications: Particles, Plasmons and Waves, Springer 2008) and co-edited a book (Plasmonics and Plasmonic Metamaterials: Analysis and Applications, World Scientific, 2011).

Before coming to the University of Akron, Tsukerman worked at the Department of Electrical & Computer Engineering, the University of Toronto (1990-1995). A joint project with GE Canada involved electromagnetic field analysis and noise reduction in large electric motors. 

Tsukerman's academic degrees are from St. Petersburg Polytechnic in Russia: a combined B.Sc. / M.Sc. degree (with honors) in Control Systems (1982) and a Ph.D. in Electrical Engineering (1988).