Prediction of the cold flow properties of biodiesel using the FAME distribution and Machine learning techniques-Reference-Cited by-同舟云学术

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Prediction of the cold flow properties of biodiesel using the FAME distribution and Machine learning techniques

Published:2024-04 Issue: Volume:400 Page:124555
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Díez-Valbuena G.,García Tuero A.,Díez J.,Rodríguez E.,Hernández Battez A.

Funder

Government of Principality of Asturias

España Ministerio de Ciencia Innovación y Universidades

Foundation for the Promotion in Asturias of Applied Scientific Research and Technology

Publisher

Elsevier BV

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5. The misleading total replacement of internal combustion engines by electric motors and a study of the brazilian ethanol importance for the sustainable future of mobility: a review;Malaquias;J. Braz. Soc. Mech. Sci. Eng.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Biodiesel derived from the microalgae Nannochloropsis gaditana and Haematococcus pluvialis: Physicochemical and tribological properties;Journal of Molecular Liquids;2024-08

2. Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook;Energy Conversion and Management: X;2024-07

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