Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties-Reference-Cited by-同舟云学术

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Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties

Published:2023-05 Issue: Volume:26 Page:100266
ISSN:2468-1113
Container-title:Computational Toxicology
language:en
Short-container-title:Computational Toxicology

Author:

Tabaaza Grace Amabel,Tackie-Otoo Bennet Nii,Zaini Dzulkarnain B.,Otchere Daniel Asante,Lal Bhajan

Funder

Universiti Teknologi Petronas

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

Reference54 articles.

1. Synthesis of aryl azides: a probe reaction to study the synergetic action of ultrasounds and ionic liquids;D’Anna;Ultrason. Sonochem.,2012

2. Gallium-rich Pd-Ga phases as supported liquid metal catalysts;Taccardi;Nat. Chem.,2017

3. Gas hydrate inhibition: a review of the role of ionic liquids;Tariq;Ind. Eng. Chem. Res.,2014

4. Toxicity measurement of imidazolium ionic liquids using acute toxicity test;El-Harbawi;Procedia Chem.,2014

5. Ionic liquids as gas hydrate thermodynamic inhibitors;Bavoh;Ind. Eng. Chem. Res.,2021

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