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...
Guardat en:
| Altres autors: | , , , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edició: | 1. |
| Col·lecció: | Integrated Analytical Systems
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| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Methods for Sensor Material Selection, Texte imprimé, 9780387737140 • Computational Methods for Sensor Material Selection, Texte imprimé, 9781489984166 • Deposition, diagenesis, and weathering of organic matter-rich sediments, Ralf Littke, Berlin, Springer-Verlag, 1993, 1 vol. (ix-216 p.), Lecture notes in earth sciences, 978-3-540-56661-8 |
Taula de continguts:
- First Principles Methods For Materials Evaluation 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 Nanosensors Statistical And Multivariate Methods For Materials Evaluation Development of New Sensing Materials Using Combinatorial and High-Throughput Experimentation Chemical Sensor Array Response Modeling Using Quantitative Structure-Activity Relationships Technique Design and Information Content of Arrays of Sorption-Based Vapor Sensors Using Solubility Interactions and Linear Solvation Energy Relationships Designing Sensing Arrays 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 Future Directions