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High temperature primary battery for Venus surface missions

Journal of power sources, 2020-02, Vol.449, p.227492, Article 227492

2020

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Phase Behavior of Mixed Self-Assembled Monolayers of Alkanethiols on Au(111): A Configurational-Bias Monte Carlo Simulation Study

Langmuir, 2001-11, Vol.17 (24), p.7566-7572

2001

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Nonlinear Least-Squares Based Method for Identifying and Quantifying Single and Mixed Contaminants in Air with an Electronic Nose

Sensors (Basel, Switzerland), 2006-01, Vol.6 (1), p.1-18

2006

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Open access integrated therapeutic and diagnostic platforms for personalized cardiovascular medicine

Journal of personalized medicine, 2013-08, Vol.3 (3), p.203-237

2013

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Monitoring Space Shuttle air quality using the Jet Propulsion Laboratory electronic nose

IEEE sensors journal, 2004-06, Vol.4 (3), p.337-347

2004

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Molecular simulation study of water–methanol mixtures in activated carbon pores

The Journal of chemical physics, 2000-10, Vol.113 (16), p.6933-6942

2000

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Human activity monitoring using gas sensor arrays

Sensors and actuators. B, Chemical, 2014-08, Vol.199, p.398-402

2014

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Computational Methods for Sensor Material Selection

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Polymer–Carbon Black Composite Sensors in an Electronic Nose for Air-Quality Monitoring

MRS bulletin, 2004-10, Vol.29 (10), p.714-719

2004

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Single-Molecule Nanomaterials from π-Stacked Side-Chain Conjugated Polymers

Advanced materials (Weinheim), 2007-02, Vol.19 (4), p.536-542

2007

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Computational Methods for Sensor Material Selection

1. Aufl., 2009

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Molecular modeling of polymer composite–analyte interactions in electronic nose sensors

Sensors and actuators. B, Chemical, 2003-08, Vol.93 (1), p.84-91

2003

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Adsorption of water-methanol mixtures in carbon and aluminosilicate pores: a molecular simulation study

Molecular physics, 1999-11, Vol.97 (10), p.1139-1148

1999

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Rapid Screening of Chemical Sensing Materials Using Molecular Modeling Tools for the JPL Electronic Nose

Computational Materials, Chemistry, and Biochemistry: From Bold Initiatives to the Last Mile, p.315-328

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Computational Approaches to Design and Evaluation of Chemical Sensing Materials

Combinatorial Methods for Chemical and Biological Sensors, p.471-479

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Future Directions

Computational Methods for Sensor Material Selection, p.301-304

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Quantum Mechanics and First-Principles Molecular Dynamics Selection of Polymer Sensing Materials

Computational Methods for Sensor Material Selection, p.71-92

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Adsorption of water-methanol mixtures in carbon and aluminosilicate pores: a molecular simulation study

Molecular physics, 1999-11, Vol.97 (10), p.1139-1148

V. Shevade, Shaoyi Jiang, Keith E., Abhijit

1999

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Part III: Designing Sensing Arrays

Computational Methods for Sensor Material Selection, 2009

2009

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Part IV: Future Directions

Computational Methods for Sensor Material Selection, 2009

2009

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Part I: First Principles Methods For Materials Evaluation

Computational Methods for Sensor Material Selection, 2009

2009

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Part II: Statistical And Multivariate Methods For Materials Evaluation

Computational Methods for Sensor Material Selection, 2009

2009

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Chemical Sensor Array Response Modeling Using Quantitative Structure-Activity Relationships Technique

Computational Methods for Sensor Material Selection, p.167-192

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High temperature primary battery for Venus surface missions

Phase Behavior of Mixed Self-Assembled Monolayers of Alkanethiols on Au(111): A Configurational-Bias Monte Carlo Simulation Study

Nonlinear Least-Squares Based Method for Identifying and Quantifying Single and Mixed Contaminants in Air with an Electronic Nose

Open access integrated therapeutic and diagnostic platforms for personalized cardiovascular medicine

Monitoring Space Shuttle air quality using the Jet Propulsion Laboratory electronic nose

Molecular simulation study of water–methanol mixtures in activated carbon pores

Human activity monitoring using gas sensor arrays

Computational Methods for Sensor Material Selection

Polymer–Carbon Black Composite Sensors in an Electronic Nose for Air-Quality Monitoring

Single-Molecule Nanomaterials from π-Stacked Side-Chain Conjugated Polymers

Computational Methods for Sensor Material Selection

Molecular modeling of polymer composite–analyte interactions in electronic nose sensors

Adsorption of water-methanol mixtures in carbon and aluminosilicate pores: a molecular simulation study

Rapid Screening of Chemical Sensing Materials Using Molecular Modeling Tools for the JPL Electronic Nose

Computational Approaches to Design and Evaluation of Chemical Sensing Materials

Future Directions

Quantum Mechanics and First-Principles Molecular Dynamics Selection of Polymer Sensing Materials

Adsorption of water-methanol mixtures in carbon and aluminosilicate pores: a molecular simulation study

Part III: Designing Sensing Arrays

Part IV: Future Directions

Part I: First Principles Methods For Materials Evaluation

Part II: Statistical And Multivariate Methods For Materials Evaluation

Chemical Sensor Array Response Modeling Using Quantitative Structure-Activity Relationships Technique

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