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

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

Abstract 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 le...

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Bibliographic Details
Main Authors: Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Pharmaceutical industry
Machine learning
Leverage algorithm
Fatty acid ethyl esters
Speed of sound prediction
SHAP analysis
Online Access:https://doi.org/10.1038/s41598-025-16095-1
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https://doi.org/10.1038/s41598-025-16095-1

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