Computational Methods for Sensor Material Selection /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ryan, Margaret A. (Editor ), Shevade, Abhijit V. (Editor ), Taylor, Charles J. (Editor ), Homer, M. L. (Editor ), Blanco, Mario. (Editor ), Stetter, Joseph R. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Integrated Analytical Systems,
Materias:
Tabla de Contenidos:
  • 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.