Developing sensor activity relationships for the JPL electronic nose sensors using molecular modeling and QSAR techniques

We report a quantitative structure-activity relationship (QSAR) study using genetic function approximation (GFA) to describe the polymer-carbon composite sensor activities in the JPL electronic nose (ENose), when exposed to chemical vapors at parts-per-million (ppm) concentration levels. A unique QS...

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Bibliographische Detailangaben

Hauptverfasser:	Shevade, A.V., Ryan, M.A., Homer, M.L., Jewell, A.D., Zhou, H., Manatt, K., Kisor, A.K., Manfreda, A.M., Taylor, C.J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Chemical sensors Electronic noses Function approximation Genetics Polymers Sensor phenomena and characterization Testing Thermal sensors Thermodynamics Training data
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