Application of Machine Learning To Predict The Toxicity of Ionic Liquids

Tabaaza, Grace Amabel (2023) Application of Machine Learning To Predict The Toxicity of Ionic Liquids. Masters thesis, Universiti Teknologi PETRONAS.

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Abstract

QSAR methods address data scarcity in IL toxicity, but often rely on univariate analysis, isolating cation, or anion effects without accounting for variations between ionic counterparts

Item Type: Thesis (Masters)
Subjects: T Technology > TP Chemical technology
Departments / MOR / COE: Engineering > Chemical
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 14 Sep 2023 07:11
Last Modified: 14 Sep 2023 07:11
URI: http://utpedia.utp.edu.my/id/eprint/24835

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