Reliable predictive frameworks for thermal conductivity of ester biofuels using artificial intelligence approaches

Abstract Ester biofuels have emerged as promising renewable alternatives to fossil fuels due to their environmental compatibility and favorable combustion characteristics. Accurate knowledge of their liquid thermal conductivity (LTC) is essential for optimizing energy systems, engine performance, an...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Walid Abdelfattah, Ramdevsinh Jhala, Ramachandran Thulasiram, Ahmed Mohsen, Aman Shankhyan, Manoj Kumar Ojha, Dhirendra Nath Thatoi, Fereydoon Ranjbar
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-10-01
Subjects:	Ester biofuels Liquid thermal conductivity (LTC) Machine learning Intelligent modeling Correlation
Online Access:	https://doi.org/10.1038/s41598-025-19893-9