Computational Methods for Sensor Material Selection
. Ed(S): Ryan, Margaret A.; Shevade, Abhijit V.; Taylor, Charles J.; Homer, M. L.; Blanco, Mario
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Description for Computational Methods for Sensor Material Selection
Hardback. This volume provides an in-depth analysis of the components and computational methods required in sensor material selection. Readers will find a discussion of applications that include process control, medical diagnosis and environmental monitoring. Editor(s): Ryan, Margaret A.; Shevade, Abhijit V.; Taylor, Charles J.; Homer, M. L.; Blanco, Mario. Series: Integrated Analytical Systems. Num Pages: 319 pages, 21 black & white tables, biography. BIC Classification: PNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 1430.
Chemical vapor sensing arrays have grown in popularity over the past two decades, finding applications for tasks such as process control, environmental monitoring, and medical diagnosis. This is the first in-depth analysis of the process of choosing materials and components for these "electronic noses", with special emphasis on computational methods. For a view of component selection with an experimental perspective, readers may refer to the complementary volume of Integrated Microanalytical Systems entitled "Combinatorial Methodologies for Sensor Materials."
Product Details
Format
Hardback
Publication date
2009
Publisher
Springer-Verlag New York Inc. United States
Number of pages
319
Condition
New
Series
Integrated Analytical Systems
Number of Pages
319
Place of Publication
New York, NY, United States
ISBN
9780387737140
SKU
V9780387737140
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Computational Methods for Sensor Material Selection
From the reviews: “The book is written in a comprehensible manner. Each chapter contains descriptive examples. After a short introduction, the book gives very detailed information about scientific issues in each topic. Besides quantum mechanical principles, statistical approaches are covered as well. Therefore, all important topics for selecting sensing materials for chemical vapor sensing are covered. Owing to this ... Read more