Prediction of subcooled vapor pressures (log PL) of 399 polychlorinated trans-azoxybenzenes by using the QSPR and ANN approach

Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering

Volumn 47, Issue 3, 2012, Pages 450-462

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

^a UNIVERSITY OF GDA SK   (Poland)

Author keywords

biocides; environmental fate; herbicides; physical chemical partitioning coefficients; pollution; Polychlorinated azoxybenzenes; POPs

Indexed keywords

BIOCIDES; HERBICIDES; NEURAL NETWORKS; ORGANIC POLLUTANTS; POLLUTION; QUANTUM CHEMISTRY; VAPOR PRESSURE;

ENVIRONMENTAL CONTAMINANT; ENVIRONMENTAL FATE; PHYSICAL-CHEMICAL PARTITIONING COEFFICIENTS; POLYCHLORINATED AZOXYBENZENES; POPS; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; STRUCTURAL DESCRIPTORS; SUBCOOLED VAPOR PRESSURE;

HYDROSTATIC PRESSURE;

BENZENE DERIVATIVE; CHLORO AZOXYBENZENE; UNCLASSIFIED DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; PREDICTOR VARIABLE; PROCESS OPTIMIZATION; QUANTITATIVE STRUCTURE PROPERTY RELATION; VAPOR PRESSURE;

EID: 84857173024     PISSN: 10934529     EISSN: 15324117     Source Type: Journal    
DOI: 10.1080/10934529.2012.646142     Document Type: Article

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