A Neural Network QSPR Model for Accurate Prediction of Flash Point of Pure Hydrocarbons-Reference-Cited by-同舟云学术

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A Neural Network QSPR Model for Accurate Prediction of Flash Point of Pure Hydrocarbons

Published:2018-11-29 Issue:4 Volume:38 Page:1800094
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Mirshahvalad H.¹,Ghasemiasl R.¹,Raoufi Nahid²,Malekzadeh dirin M.¹

Affiliation:

1. Department of Mechanical Engineering, West Tehran BranchIslamic Azad University Tehran Iran

2. Department of Chemical EngineeringIslamic Azad UniversitySouth Tehran Branch Tehran Iran

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.201800094

Reference47 articles.

1. QSPR modeling of thermal stability of nitroaromatic compounds: DFT vs. AM1 calculated descriptors

2. Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach

3. Modeling molecular boiling points using computed interaction energies

4. Theoretical study on modeling and prediction of optical rotation for biodegradable polymers containing α-amino acids using QSAR approaches

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