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:	05 Jun 2024 04:16
Last Modified:	05 Jun 2024 04:16
URI:	http://utpedia.utp.edu.my/id/eprint/27036

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