New QSPR Models to Predict the Flammability of Binary Liquid Mixtures-Reference-Cited by-同舟云学术

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New QSPR Models to Predict the Flammability of Binary Liquid Mixtures

Published:2019-01-17 Issue:8-9 Volume:38 Page:1800122
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Fayet Guillaume¹^ORCID,Rotureau Patricia¹

Affiliation:

1. INERISAccidental Risk Division Parc Technologique Alata 60550 Verneuil-en-Halatte France

Funder

Università degli Studi dell'Insubria

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.201800122

Reference61 articles.

1. R. Benigni C. Bossa T. Netzeva A. Worth European Commission Joint Research Centre 2007.

2. Quantitative structure-activity relationships and ecological risk assessment: an overview of predictive aquatic toxicology research

3. A General Guidebook for the Theoretical Prediction of Physicochemical Properties of Chemicals for Regulatory Purposes

4. Review of Existing QSAR/QSPR Models Developed for Properties Used in Hazardous Chemicals Classification System

5. Application of QSPR to Mixtures

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1. Innovative molecular descriptors in QSPR modeling: Integrating Carnahan-Starling EoS for predicting diffusion coefficients in hydrocarbons and mixtures;Journal of Molecular Liquids;2024-09

2. Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel;ACS Chemical Health & Safety;2024-01-08

3. New QSPR models for predicting critical temperature of binary organic mixtures using linear and nonlinear methods;Fluid Phase Equilibria;2023-12

4. QSPR models to predict the physical hazards of mixtures: a state of art;SAR and QSAR in Environmental Research;2023-09-02

5. Capturing molecular interactions in graph neural networks: a case study in multi-component phase equilibrium;Digital Discovery;2023

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