This is the fifth of a five-volume comprehensive reference work that provides commputer simulation and modeling techniques in various fields of chemical sensing ,the importand applicaions for chemical sensing include such topics as bulk and surface diffusion,adsorption,surface reactions,sintering,conductivity,mass transport and interphase interactions.
關於作者：
科瑞特森科韦（Korotcenkov，G.）， received his Ph.D. in Physics and Technology of Semiconductor Materials and Devices in 1976 and his Habilitate Degree （Dr. Sci.） in Physics and Mathematics of Semiconductors and Dielectrics in 1990. He was for many years the leader in the Gas Sensor Group at the Technical University of Moldova. He is currently a research professor at: Gwangju Institute of Science and Technology， in Gwangju， Republic of Korea. Dr. Korotcenkov is the author of five previous books and has authored over 180 peerreviewed papers. His research has received numerous awards and honors， including the Award of the Supreme Council of Science and Advanced Technology of the Republic of Moldova.
目錄：
PREFACE
ABOUT THE EDITOR
CONTRIBUTORS
6 MODELING AND SIGNAL PROCESSING STRATEGIES FOR MICROACOUSTIC
CHEMICAL SENSORS
G. Fischerauer
F. Thalmayr
1 Sensing Principles of Microacoustic Chemical Sensors
I. 1 Introduction
1.2 Microacoustic Chemical Sensors
2 Simulation and Modeling of Acoustic Wave Propagation,
Excitation, and Detection
2.1 Analytical Solution to the Undisturbed Wave Propagation
Problem
2.2 Analytical Solution to the Wave Excitation and Detection
Problem
2.3 Finite-Element Method
2.4 Equivalent-Circuit Models
3 Sensor Steady-State Response
3.1 Perturbation Approaches
3.2 Temperature Effects
4 Sensor Dynamics
4.1 Linear Model
4.2 State-Space Description
5 Sensor Signal Processing
5.1 Suppression of Temperature Effects
5.2 Signal Processing Based on Linear Analytical Model
5.3 Wiener Deconvolution
5.4 Kalman Filter
5.5 Discussion of State-Space-Based Signal Processing
6 Summary
7 Nomenclature
References
7 HIERARCHICAL SIMULATION OF CARBON NANOTUBE ARRAY--BASED
CHEMICAL SENSORS WITH ACOUSTIC PICKUP
V. Barkaline
A. Chashynski
1 Introduction
2 Simulation Levels of Nanodesign
3 Prototype of Hierarchical Simulation System for Nanodesign
4 Continual Simulation of SAW Propagation in a Layered Medium
5 Structure of Carbon Nanotubes and Adsoption Properties of
CNT Arrays
5.1 Atomic Structure of Single- and Multiwalled Nanotubes
5.2 Quantum Mechanical Study of the Adsorption of Simple
Gases on Carbon Nanotubes
5.3 Molecular Mechanics of Physical Adsorption of the
Individual Molecules on the CNT
6 Simulation of a Carbon Nanotube Array-Based Chemical
Sensor with an Acoustic Pickup
6.1 Molecular Dynamics Calculation of the Elastic Moduli of
Individual Carbon Nanotubes
6.2 Molecular Dynamics Study of Distribution of Adsorbed
Molecules in CNT Array Pores and Calculation of Acoustic
Parameters of CNT Arrays
6.3 SAW Phase Velocity Change Due to Molecular Adsorption
on CNT Arrays in SAW-Based Chemical Sensors
7 Conclusion
References
8 M-ICROCANTILEVER-BASED CHEMICAL SENSORS
S. Martin
G. Louarn
1 Introduction
2 Natural Frequencies and Normal Modes of Vibration
3 Experimental Procedure
4 Natural Frequencies of Free Rectangular Cantilevers
4.1 Analytical Calculations
4.2 Simulation with Finite-Element Method
4.3 Experimental and Modelling Results on a Rectangular
Beam
5 Natural Frequencies of V-Shaped Microcantilevers
6 Natural Frequencies of V-Shaped Coated Cantilevers
7 Conclusion and Prospects
8 Acknowledgments
References
9 MODELING OF MICROMACHINED THERMOELECTRIC GAS SENSORS
S. Udina
M. Carmona
C. Calaza
1 Principles of MTGS Modeling
1.1 Introduction to the Theory of Heat Transfer
1.2 Key Thermal Contributions and Parameters Involved in
Sensor Operation and Modeling
1.3 Influence of the Packaging
2 Modeling and Simulation Methods
2.1 Complexity Model Levels
2.2 Analytical Models
2.3 Finite-Element Method
2.4 Thermal Conductivity of Gases
3 Application to Thermoelectric Gas Sensors
3.1 Case Study
3.2 Analytical Model
3.3 Static FEM
3.4 Dynamic FEM
3.5 Device Optimization
Acknowledgments
Nomenclature
References
10 MODELING, SIMULATION, AND INFORMATION PROCESSING FOR
DEVELOPMENT OF A POLYMERIC ELECTRONIC NOSE SYSTEM
R. D. S. Yadava
1 Introduction
2 Sensor Array Approach
2.1 System Characteristics
2.2 Sensing Platform and System Design
3 Sensor Transient Approach
4 Design and Modeling of SAW Sensing Platform
4.1 Generic Sensor Model
4.2 Designing a SAW Platform for Mass Sensitivity
4.3 Designing a SAW Platform for Multifrequency Sensing
5 Vapor Solvation, Diffusion, and Polymer Loading
5.1 Solvation Model and Data Processing
5.2 Sorption Kinetics and Transient Signal Model
6 Data Mining and Simulation for Polymer Selection
6.1 Case Study of Explosive Vapor Detection
6.2 Case Study of Body-Odor Detection
7 Optimizing Data Processing Methods
7.1 Transient Signal Analysis
7.2 Steady-State Sensor Array Response Analysis
7.3 Enhancing Sensor Intelligence by Information Fusion
7.4 Simultaneous Recognition and Quantitation
8 Conclusion
Acknowledgments
References
INDEX
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