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References from Development of the ignition delay prediction model of n-butane/hydrogen mixtures based on artificial neural network. Local targets link to admitted publications; unresolved targets remain external evidence.
Is it really the end of internal combustion engines and petroleum in transport?
10.1016/j.apenergy.2018.05.076 · 2018 · External reference
Impacts of additives on performance and emission characteristics of diesel engines during steady state operation
10.1016/j.pecs.2016.10.001 · 2017 · External reference
Experimental and numerical study on soot formation and oxidation by using diesel fuel in constant volume chamber with various ambient oxygen concentrations
10.1016/j.enconman.2014.04.023 · 2014 · External reference
The synergetic effect between hydrogen addition and EGR on cashew nut shell liquid biofuel-diesel operated engine
10.1016/j.fuel.2019.117004 · 2020 · External reference
Recent progress in the use of hydrogen as a fuel for internal combustion engines
10.1016/j.ijhydene.2013.10.102 · 2014 · External reference
Effect of hydrogen fumigation on combustion stability and unregulated emissions in a diesel fuelled compression ignition engine
10.1016/j.apenergy.2019.113620 · 2019 · External reference
Thermal efficiency improvement of super-lean burn spark ignition engine by stratified water insulation on piston top surface
2020 · External reference
Improving the thermal efficiency of a T-GDI engine using hydrogen from combined steam and partial oxidation exhaust gas reforming of gasoline under low-load stoichiometric conditions
10.1016/j.fuel.2020.117754 · 2020 · External reference
Diesel and diesel-gasoline fuelled premixed low temperature combustion (LTC) engine mode for clean combustion
10.1016/j.fuel.2019.116982 · 2020 · External reference
Performance and emission evaluation of a marine diesel engine fueled by water biodiesel-diesel emulsion blends with a fuel additive of a cerium oxide nanoparticle
10.1016/j.enconman.2018.05.073 · 2018 · External reference
Impact of natural gas injection strategies on combustion and emissions of a dual fuel natural gas engine ignited with diesel at low loads
10.1016/j.fuel.2019.116414 · 2020 · External reference
Optimizing gasoline compression ignition engine performance and emissions: combined effects of exhaust gas recirculation and fuel octane number
10.1016/j.applthermaleng.2019.03.054 · 2019 · External reference
A rapid compression machine study of hydrogen effects on the ignition delay times of n-butane at low-to-intermediate temperatures
10.1016/j.fuel.2019.116895 · 2020 · External reference
Alternative fuels for internal combustion engines
10.1016/j.proci.2016.09.009 · 2017 · External reference
Performance, combustion and knock assessment of a high compression ratio and lean-burn heavy-duty spark-ignition engine fuelled with n-butane and liquefied methane gas blend
10.1016/j.energy.2018.03.014 · 2018 · External reference
n-Butane: ignition delay measurements at high pressure and detailed chemical kinetic simulations
10.1016/j.combustflame.2010.01.016 · 2010 · External reference
An experimental and detailed chemical kinetic modeling study of hydrogen and syngas mixture oxidation at elevated pressures
10.1016/j.combustflame.2013.01.001 · 2013 · External reference
Developing detailed chemical kinetic mechanisms for fuel combustion
10.1016/j.proci.2018.06.054 · 2019 · External reference
Combustion properties of n-heptane/hydrogen mixtures
10.1016/j.ijhydene.2018.11.060 · 2019 · External reference
Ignition properties of n-butane and iso-butane in a rapid compression machine
10.1016/j.combustflame.2009.10.012 · 2010 · External reference
Low temperature n-butane oxidation skeletal mechanism, based on multilevel approach
10.1016/j.combustflame.2009.12.018 · 2010 · External reference
Experimental and kinetic study on ignition of DME/n-butane mixtures under high pressures on a rapid compression machine
10.1016/j.fuel.2018.03.129 · 2018 · External reference
Shock tube measurement and simulation of DME/n-butane/air mixtures: effect of blending in the NTC region
10.1016/j.fuel.2017.04.121 · 2017 · External reference
Ignition delay time and laminar flame speed measurements of mixtures containing diisopropyl-methylphosphonate (DIMP)
10.1016/j.combustflame.2020.01.018 · 2020 · External reference
Pattern recognition for measuring the flame stability of gas-fired combustion based on the image processing technology
10.1016/j.fuel.2020.117486 · 2020 · External reference
Deep neural network inversion for 3D laser absorption imaging of methane in reacting flows
10.1364/ol.391834 · 2020 · External reference
Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network
10.1016/j.apenergy.2019.114159 · 2020 · External reference
Direct mapping from LES resolved scales to filtered-flame generated manifolds using convolutional neural networks
10.1016/j.combustflame.2019.08.014 · 2019 · External reference
Hydraulic dynamics in split fuel injection on a common rail system and their artificial neural network prediction
10.1016/j.fuel.2019.115792 · 2019 · External reference
An image understanding based model with ion current signals for predicting combustion information
10.1016/j.fuel.2019.04.162 · 2019 · External reference
Controlling the optimal combustion phasing in an HCCI engine based on load demand and minimum emissions
10.1016/j.energy.2019.06.012 · 2019 · External reference
Pressure prediction of a spark ignition single cylinder engine using optimized extreme learning machine models
10.1016/j.apenergy.2019.04.126 · 2019 · External reference
Predicting sooting tendencies of oxygenated hydrocarbon fuels with machine learning algorithms
10.1016/j.fuel.2019.01.064 · 2019 · External reference
Application of machine learning into organic Rankine cycle for prediction and optimization of thermal and exergy efficiency
10.1016/j.enconman.2020.112700 · 2020 · External reference
Real-time realization of Dynamic Programming using machine learning methods for IC engine waste heat recovery system power optimization
10.1016/j.apenergy.2020.114514 · 2020 · External reference
Modeling the performance of a sorption thermal energy storage reactor using artificial neural networks
10.1016/j.apenergy.2019.113525 · 2019 · External reference
Modeling heat transfer properties in an ORC direct contact evaporator using RBF neural network combined with EMD
10.1016/j.energy.2019.02.056 · 2019 · External reference
Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery
10.1016/j.enconman.2018.02.062 · 2018 · External reference
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis
10.1016/j.asoc.2013.01.006 · 2013 · External reference
Application of GRNN for the prediction of performance and exhaust emissions in HCCI engine using ethanol
10.1016/j.enconman.2016.05.061 · 2016 · External reference
Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN-PSO
10.1016/j.apenergy.2016.11.072 · 2017 · External reference
Real-time modeling of ringing in HCCI engines using artificial neural networks
10.1016/j.energy.2017.02.137 · 2017 · External reference
Artificial Neural Network modeling of a hydrogen dual fueled diesel engine characteristics: an experiment approach
10.1016/j.ijhydene.2017.04.096 · 2017 · External reference
Hidden fluid mechanics: learning velocity and pressure fields from flow visualizations
10.1126/science.aaw4741 · 2020 · External reference
Online in situ prediction of 3-D flame evolution from its history 2-D projections via deep learning
10.1017/jfm.2019.545 · 2019 · External reference
Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory
10.1016/j.applthermaleng.2020.115253 · 2020 · External reference
Artificial neural network based predictions of cetane number for furanic biofuel additives
10.1016/j.fuel.2017.06.015 · 2017 · External reference
Predicting octane number using nuclear magnetic resonance spectroscopy and artificial neural networks
10.1021/acs.energyfuels.8b00556 · 2018 · External reference
Experimental and simulated study on the ignition delay time of dimethyl ether/n-heptane/oxygen/argon mixtures
10.1016/j.fuel.2019.116812 · 2020 · External reference
An optimized chemical kinetic mechanism for HCCI combustion of PRFs using multi-zone model and genetic algorithm
10.1016/j.enconman.2014.11.057 · 2015 · External reference
A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO-GA and basic GA
10.1016/j.apenergy.2015.12.044 · 2016 · External reference
Developing a model to predict the start of combustion in HCCI engine using ANN-GA approach
10.1016/j.enconman.2019.05.015 · 2019 · External reference
Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm
10.1016/j.energy.2014.05.006 · 2014 · External reference
Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks
10.1016/j.energy.2015.04.025 · 2015 · External reference
Experimental study and artificial neural network based prediction of a free piston expander-linear generator for small scale organic Rankine cycle
10.1016/j.energy.2019.03.099 · 2019 · External reference
A simple and effective genetic algorithm for the two-stage capacitated facility location problem
10.1016/j.cie.2014.05.023 · 2014 · External reference
Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network
10.1016/j.apenergy.2008.09.017 · 2009 · External reference
Experimental and kinetic study on ignition delay times of lean n-butane/hydrogen/argon mixtures at elevated pressures
10.1016/j.ijhydene.2017.03.196 · 2017 · External reference
Shock-tube study of the autoignition of n-butane/hydrogen mixtures
10.1021/acs.energyfuels.7b02423 · 2018 · External reference
Experimental and modeling study on ignition delays of lean mixtures of methane, hydrogen, oxygen, and argon at elevated pressures
10.1016/j.combustflame.2011.09.010 · 2012 · External reference
Further study on the ignition delay times of propane-hydrogen-oxygen-argon mixtures: effect of equivalence ratio
10.1016/j.combustflame.2013.05.012 · 2013 · External reference
Measurements and kinetic study on ignition delay times of propane/hydrogen in argon diluted oxygen
10.1016/j.ijhydene.2012.12.020 · 2013 · External reference