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Machine learning-based prediction of speed of sound in fatty acid ethyl esters.

ABSTRACT:

SUBMITTER: Yadav K

PROVIDER: S-EPMC12373781 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature

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Machine learning-based prediction of speed of sound in fatty acid ethyl esters.

Yadav Kusum K Almansour Shahad S Alkwai Lulwah M LM Yadav Anupam A Mottaghi Mehrdad M

Scientific reports 20250822 1

This research explores the application of fatty acid ethyl esters (FAEEs) in the pharmaceutical industry due to their biodegradable, renewable nature and versatility as excipients or drug delivery agents. The research seeks to create predictive models utilizing various methods in machine learning to calculate the speed of sound in FAEEs under different temperature, pressure, molar mass, and elemental composition conditions. Laboratory data figures from earlier research were used to train the mod ...[more]

PMID: 40846742

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