Prediction of Density and Viscosity of Biofuel Compounds Using Machine Learning Methods-Reference-Cited by-同舟云学术

Prediction of Density and Viscosity of Biofuel Compounds Using Machine Learning Methods

Published:2012-03-30 Issue:4 Volume:26 Page:2416-2426
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Saldana Diego Alonso¹,Starck Laurie¹,Mougin Pascal¹,Rousseau Bernard²,Ferrando Nicolas¹,Creton Benoit¹

Affiliation:

1. IFP Energies Nouvelles, 1 et 4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, France

2. Laboratoire de Chimie Physique, Université Paris-Sud, UMR 8000 CNRS, 91405 Orsay Cedex, France

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef3001339

Reference67 articles.

1. Short history and present trends of Fischer–Tropsch synthesis

2. Production of Synthetic Diesel by Hydrotreatment of Jatropha Oils Using Pt−Re/H-ZSM-5 Catalyst

3. Weiss, W.; Dulot, H.; Quignard, A.; Charon, N.; Courtiade, M.Direct coal to liquids (DCL): High quality jet fuels.27th Annual International Pittsburgh Coal Conference, 2010.

4. Aromatic Production from Catalytic Fast Pyrolysis of Biomass-Derived Feedstocks

5. Biofuels securing the planet’s future energy needs

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