Tsukerman Computational Methods for Nanoscale Applications

Particles, Plasmons and Waves
2. Auflage 2020
ISBN: 978-3-030-43893-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 707 Seiten, eBook

Reihe: Nanostructure Science and Technology

Positioning itself at the common boundaries of several disciplines, this work provides new perspectives on modern nanoscale problems where fundamental science meets technology and computer modeling. In addition to well-known computational techniques such as finite-difference schemes and Ewald summation, the book presents a new finite-difference calculus of Flexible Local Approximation Methods (FLAME) that qualitatively improves the numerical accuracy in a variety of problems.

Zielgruppe

Research

Autoren/Hrsg.

Tsukerman, Igor

Inhaltsverzeichnis

Über Autor(innen)

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).