Measurements and kinetic study on ignition delay times of propane/hydrogen in argon diluted oxygen
10.1016/j.ijhydene.2012.12.020 · doi-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 · doi-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 · doi-reference
Shock-tube study of the autoignition of n-butane/hydrogen mixtures
10.1021/acs.energyfuels.7b02423 · doi-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 · doi-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 · doi-reference
A simple and effective genetic algorithm for the two-stage capacitated facility location problem
10.1016/j.cie.2014.05.023 · doi-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 · doi-reference
Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks
10.1016/j.energy.2015.04.025 · doi-reference
Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm
10.1016/j.energy.2014.05.006 · doi-reference
Developing a model to predict the start of combustion in HCCI engine using ANN-GA approach
10.1016/j.enconman.2019.05.015 · doi-reference
A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO-GA and basic GA
10.1016/j.apenergy.2015.12.044 · doi-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 · doi-reference
Experimental and simulated study on the ignition delay time of dimethyl ether/n-heptane/oxygen/argon mixtures
10.1016/j.fuel.2019.116812 · doi-reference
Predicting octane number using nuclear magnetic resonance spectroscopy and artificial neural networks
10.1021/acs.energyfuels.8b00556 · doi-reference
Artificial neural network based predictions of cetane number for furanic biofuel additives
10.1016/j.fuel.2017.06.015 · doi-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 · doi-reference
Online in situ prediction of 3-D flame evolution from its history 2-D projections via deep learning
10.1017/jfm.2019.545 · doi-reference
Hidden fluid mechanics: learning velocity and pressure fields from flow visualizations
10.1126/science.aaw4741 · doi-reference
Artificial Neural Network modeling of a hydrogen dual fueled diesel engine characteristics: an experiment approach
10.1016/j.ijhydene.2017.04.096 · doi-reference
Real-time modeling of ringing in HCCI engines using artificial neural networks
10.1016/j.energy.2017.02.137 · doi-reference
Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN-PSO
10.1016/j.apenergy.2016.11.072 · doi-reference
