QSPR Molecular Approach for Estimating Henry’s Law Constants of Pure Compounds in Water at Ambient Conditions-Reference-Cited by-同舟云学术

QSPR Molecular Approach for Estimating Henry’s Law Constants of Pure Compounds in Water at Ambient Conditions

Published:2012-03-15 Issue:12 Volume:51 Page:4764-4767
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gharagheizi Farhad,Ilani-Kashkouli Poorandokht¹,Mirkhani Seyyed Alireza,Farahani Nasrin,Mohammadi Amir H.²³

Affiliation:

1. Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2. MINES ParisTech, CEP/TEP - Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France

3. Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie202646u

Reference37 articles.

1. Handbook of Property Estimation Methods for Chemicals

2. A critical review of Henry's law constants for environmental applications

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Approach for the Estimation of Henry’s Law Constant Based on Molecular Descriptors;Atmosphere;2024-06-13

2. Does the accounting of the local symmetry fragments in SMILES improve the predictive potential of the QSPR-model for Henry's law constants?;Environmental Science: Advances;2023

3. Machine Learning Self-Diffusion Prediction for Lennard-Jones Fluids in Pores;The Journal of Physical Chemistry C;2021-11-16

4. Automated extraction of molecular features in machine learning-based environmental property prediction;Applications of Artificial Intelligence in Process Systems Engineering;2021

5. Prediction of critical properties of sulfur-containing compounds: New QSPR models;Journal of Molecular Graphics and Modelling;2020-12