
Modeling and Numerical Simulations I
Modeling and Numerical Simulations I
Mordechay Schlesinger(Editor)
Springer (Publisher)
Published on 20. October 2008
Book
Hardback
X, 544 pages
978-0-387-49580-4 (ISBN)
Description
This volume is meant as an introductory resource aimed at practitioners of electrochemistry research, technology and development mainly at the atomic, molecular or macromolecular levels. Emphasis is placed at length scales in the 1-100 nm range. The aim of the volume is to help provide understanding of electrochemical phenomena and materials at the nanoscale through modeling and numeric simulations. It is also designed to serve as a means to create and use structures.
Reviews / Votes
From the reviews:
"The present book is devoted to numerical simulation and modeling within the large field of electrochemistry. It is divided in eight chapters. . In conclusion it can be stated that the present book is surely worth of being incorporated in the library of scientists and engineers, working in the field of modeling electrochemical processes and systems." (T. Eichler, Materials and Corrosion, Vol. 62 (3), 2011)More details
Series
Edition
2009 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
X, 544 p.
Dimensions
Height: 209 mm
Width: 132 mm
Thickness: 35 mm
Weight
683 gr
ISBN-13
978-0-387-49580-4 (9780387495804)
DOI
10.1007/978-0-387-49582-8
Schweitzer Classification
Other editions
Additional editions

Mordechay Schlesinger
Modeling and Numerical Simulations I
Book
08/2016
Springer
€160.49
Shipment within 15-20 days

E-Book
07/2010
1st Edition
Springer
€149.79
Available for download
Content
Mathematical Modeling in Electrochemistry.- High Precision Atomic Theory: Tests of Fundamental Understanding.- Modeling of Impedance of Porous Electrodes.- Multiscale Mass Transport in Porous Silicon Gas Sensors.- Electrochemical Materials for PEM Fuel Cells: Insights from Physical Theory and Simulation.- Modeling of Catalyst Structure Degradation in PEM Fuel Cells.- Modeling Water Management in Polymer-Electrolyte Fuel Cells.- Adaptive Characterization and Modeling of Electrochemical Energy Storage Devices for Hybrid Electric Vehicle Applications.