Data evaluations and quantitative predictive models for vapor pressures of polycyclic aromatic hydrocarbons at different temperatures-Reference-Cited by-同舟云学术

Data evaluations and quantitative predictive models for vapor pressures of polycyclic aromatic hydrocarbons at different temperatures

Published:2004-04-01 Issue:2 Volume:15 Page:115-125
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Huang X.Y.¹,Chen J.W.¹,Gao L.N.¹,Ding G.H.¹,Zhao Y.Z.¹,Schramm K-W.²

Affiliation:

1. a Department of Environmental Science and Technology , Dalian University of Technology , Linggong Road 2, 116024, Dalian, People's Republic of China

2. b Institute of Ecological Chemistry, GSF-National Research Center for Environment and Health , Neuherberg, D-85764, Munich, Germany

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10629360410001665857

Reference58 articles.

1. Quantitative structure–property relationship studies on direct photolysis of selected polycyclic aromatic hydrocarbons in atmospheric aerosol

2. Polycyclic aromatic hydrocarbons in sediments from the Pearl river and estuary, China: spatial and temporal distribution and sources

3. A Temperature-Dependent Quantum Mechanical/Neural Net Model for Vapor Pressure

4. Neural Network Based Temperature-Dependent Quantitative Structure Property Relations (QSPRs) for Predicting Vapor Pressure of Hydrocarbons

5. Quantitative Structure−Property Relationships for the Prediction of Vapor Pressures of Organic Compounds from Molecular Structures

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