Computational Methods for Sensor Material Selection
In Computational Methods for Sensor Material Selection, experts discuss the design and selection of active sensing surfaces for chemical sensors, particularly sensors used in vapor sensing arrays or electronic noses. Part I covers first principles. Part II focuses on identifying and evaluating candi...
Corporate Author: | |
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Other Authors: | , , , , , |
Format: | Electronic |
Language: | English |
Published: |
New York, NY :
Springer US,
2010.
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Series: | Integrated Analytical Systems
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Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-73715-7 |
Table of Contents:
- Introduction: Experimental Methods In Chemical Sensor And Sensor Array Evaluation And Development
- Electromechanical and chemical sensing at the nanoscale: DFT and transport modeling
- Quantum Mechanics and First-Principles Molecular Dynamics Selection of Polymer Sensing Materials
- Prediction of quartz crystal microbalance gas sensor responses using Grand Canonical Monte Carlo method.-Computer-Aided Design of Organic Host Architectures for Selective Chemosensors
- First Principles Molecular Modeling of Sensing Material Selection for Hybrid Biomimetic Nano-Sensors
- Development of new sensing materials using combinatorial and high-throughput experimentation
- Chemical Sensor Array Response Modeling Using Quantitative Structure-Activity Relationships (QSAR) Technique
- Design and Information Content of Arrays of Sorption-based Vapor Sensors using Solubility Interactions and Linear Solvation Energy Relationships
- A Statistical Approach to Materials Evaluation and Selection for Chemical Sensor Arrays
- Statistical Methods for Selecting the Components of a Sensing Array
- Hybrid Arrays for Chemical Sensing
- Future directions.