Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

Quantitative correlation of physical and chemical properties with chemical structure: utility for prediction

AR Katritzky, M Kuanar, S Slavov, CD Hall… - Chemical …, 2010 - ACS Publications
All properties of organic moleculessphysical, chemical, biological, and
technologicalsdepend on their chemical structure and vary with it in a systematic way. The …

Producing jet fuel from biomass lignin: Potential pathways to alkyl-benzenes and cycloalkanes

F Cheng, CE Brewer - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Jet turbine fuels have not been completely replaced by biomass-derived fuels due, in part, to
the lack of the aromatic and cycloalkane hydrocarbons in bio-jet fuels. Such molecules play …

Prediction of the cetane number of biodiesel using artificial neural networks and multiple linear regression

R Piloto-Rodríguez, Y Sánchez-Borroto… - Energy Conversion and …, 2013 - Elsevier
Models for estimation of cetane number of biodiesel from their fatty acid methyl ester
composition using multiple linear regression and artificial neural networks were obtained in …

Evaluation of different reaction strategies for the improvement of cetane number in diesel fuels

RC Santana, PT Do, M Santikunaporn, WE Alvarez… - Fuel, 2006 - Elsevier
Cetane number improvement of diesel fuels is a difficult task that refiners will face in the near
future. Aromatics saturation by deep hydrogenation is a necessary, but perhaps not sufficient …

Predicting Fuel Ignition Quality Using 1H NMR Spectroscopy and Multiple Linear Regression

AG Abdul Jameel, N Naser, AH Emwas, S Dooley… - Energy & …, 2016 - ACS Publications
An improved model for the prediction of ignition quality of hydrocarbon fuels has been
developed using 1H nuclear magnetic resonance (NMR) spectroscopy and multiple linear …

A minimalist functional group (MFG) approach for surrogate fuel formulation

AGA Jameel, N Naser, G Issayev, J Touitou… - Combustion and …, 2018 - Elsevier
Surrogate fuel formulation has drawn significant interest due to its relevance towards
understanding combustion properties of complex fuel mixtures. In this work, we present a …

Surrogate fuels for RP-3 kerosene formulated by emulating molecular structures, functional groups, physical and chemical properties

Z Wu, Y Mao, M Raza, J Zhu, Y Feng, S Wang… - Combustion and …, 2019 - Elsevier
The objective of the current study was to formulate RP-3 kerosene surrogate by emulating
fuel properties affecting the physical and chemical processes of the target fuel under the …

Surrogate formulation for diesel and jet fuels using the minimalist functional group (MFG) approach

AGA Jameel, N Naser, AH Emwas… - Proceedings of the …, 2019 - Elsevier
Surrogate fuels aim to reproduce real fuel combustion characteristics in order to enable
predictive simulations and fuel/engine design. In this work, surrogate mixtures were …

Optimized synthetic data and semi-supervised learning for Derived Cetane Number prediction

M Sheyyab, PT Lynch, EK Mayhew, K Brezinsky - Combustion and Flame, 2024 - Elsevier
Abstract Derived Cetane Number (DCN) serves as a critical indicator for assessing the
ignition quality of fuels in diesel engines. Training generalized regression models for DCN is …