QSPR for prediction of subcooled vapor pressures (log PL) of polychlorinated trans-azobenzenes

Journal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes

Volumn 47, Issue 7, 2012, Pages 660-669

  Wilczyńska Piliszek, Agata J ^a   Piliszek, Slawomir ^a   Falandysz, Jerzy ^a  

^a UNIVERSITY OF GDA SK   (Poland)

Author keywords

environmental fate; herbicides; PCt ABs; Polychlorinated azobenzenes; POPs

Indexed keywords

BASIS SETS; CALCULATION METHODS; CHLORO DERIVATIVES; DENSITY FUNCTIONAL THEORY METHODS; ENVIRONMENTAL FATE; EXPERIMENTAL DATA; GAUSSIANS; PCT-ABS; PERSISTENT ORGANIC POLLUTANTS; POPS; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; SEMI-EMPIRICAL METHODS; SOFTWARE METHODS; SUBCOOLED VAPOR PRESSURE; TIME SPENT;

DENSITY FUNCTIONAL THEORY; HERBICIDES; HYDROSTATIC PRESSURE; NEURAL NETWORKS; ORGANIC POLLUTANTS; VAPOR PRESSURE; VAPORS;

FORECASTING;

AZO COMPOUND; AZOBENZENE;

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL FATE; GAUSSIAN METHOD; HERBICIDE; NUMERICAL MODEL; ORGANIC POLLUTANT; PCB; PREDICTION; VAPOR PRESSURE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER PROGRAM; QUANTITATIVE STRUCTURE ACTIVITY RELATION; THEORETICAL MODEL; VAPOR PRESSURE;

AZO COMPOUNDS; MODELS, THEORETICAL; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOFTWARE; VAPOR PRESSURE;

TETRA;

EID: 84861209587     PISSN: 03601234     EISSN: 15324109     Source Type: Journal    
DOI: 10.1080/03601234.2012.669206     Document Type: Article

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