Abstract
Behnam Yadollahi Shahri, Javad Abolfazli Esfahani, Mostafa Pourali, Zohre Hamidi
Abstract
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Ammonia as a hydrogen energy carrier
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Premixed methane oxycombustion in nitrogen and carbon dioxide atmospheres: measurement of operating limits, flame location and emissions
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Preliminary study on lean premixed combustion ofammonia-hydrogen for swirling gas turbine combustors
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Chemical Reactor Network modeling of ammonia–hydrogen combustion in a gas turbine: stochastic sensitivity analysis
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Numerical investigation of a first-stage stator turbine blade subjected to NH3–H2/air combustion flue gases
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Interpreting random forest analysis of ecological models to move from prediction to explanation
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A comparative study of machine learning approaches for an accurate predictive modeling of solar energy generation
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Using the coefficient of determination to identify injury regions after stroke in pre-clinical FDG-PET images
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Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework
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CV-YOLOv10-AR-M: Foreign Object Detection in Pu-Erh Tea based on Five-Fold Cross-Validation
10.3390/foods14101680 · doi-reference
Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings
10.1038/s41598-024-72889-9 · doi-reference
Using XGBoost-SHAP for understanding the ecosystem services trade-off effects and driving mechanisms in ecologically fragile areas
10.3389/fpls.2025.1552818 · doi-reference
10.1016/j.powtec.2024.119623
10.1016/j.powtec.2024.119623 · doi-reference
Random forests
10.1023/a:1010933404324 · doi-reference
Investigating the potential of waste glass in paver block production using RSM
10.1038/s41598-024-72789-y · doi-reference
Numerical investigation of a first-stage stator turbine blade subjected to NH3–H2/air combustion flue gases
10.1016/j.ijhydene.2022.07.190 · doi-reference
Chemical Reactor Network modeling of ammonia–hydrogen combustion in a gas turbine: stochastic sensitivity analysis
10.1016/j.applthermaleng.2024.122734 · doi-reference
Preliminary study on lean premixed combustion ofammonia-hydrogen for swirling gas turbine combustors
10.1016/j.ijhydene.2017.08.028 · doi-reference
Premixed methane oxycombustion in nitrogen and carbon dioxide atmospheres: measurement of operating limits, flame location and emissions
10.1016/j.proci.2016.06.057 · doi-reference
Study on the mechanism of the ignition process of ammonia/hydrogen mixture under high-pressure direct-injection engine conditions
10.1016/j.ijhydene.2021.09.122 · doi-reference
Chemical kinetic modeling of ammonia oxidation with improved reaction mechanism for ammonia/air and ammonia/hydrogen/air combustion
10.1016/j.ijhydene.2017.12.066 · doi-reference
Fuel rich ammonia-hydrogen injection for humidified gas turbines
10.1016/j.apenergy.2019.113334 · doi-reference
Prediction of biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations
10.1016/j.fuel.2023.130516 · doi-reference
Machine learning-driven multi-objective optimisation of ammonia co-firing with highly reactive fuels
10.1016/j.enconman.2025.120071 · doi-reference
Data-driven prediction of flame temperature and pollutant emission in distributed combustion
10.1016/j.apenergy.2021.118502 · doi-reference
A Review of Physics-Informed Machine Learning in Fluid Mechanics
10.3390/en16052343 · doi-reference
Combustion optimization in consolidated porous media for thermo-photovoltaic system application using Response Surface Methodology
10.1016/j.ijthermalsci.2022.107950 · doi-reference
Advancing renewable fuel integration: a comprehensive response surface methodology approach for internal combustion engine performance and emissions optimization
10.1016/j.heliyon.2023.e22238 · doi-reference
Review of Artificial Intelligent Algorithms for Engine Performance, Control, and Diagnosis
10.3390/en16031206 · doi-reference
Machine learning for combustion
10.1016/j.egyai.2021.100128 · doi-reference
Chemical kinetic modelling of ammonia/hydrogen/air ignition, premixed flame propagation and NO emission
10.1016/j.fuel.2019.02.102 · doi-reference
A numerical framework for 3D Computational Fluid Dynamics (CFD) simulations of gasoline-fuelled burners to be adopted in catalyst preheating of vehicle exhaust systems
10.1016/j.applthermaleng.2024.125332 · doi-reference
Experimental study on the explosion characteristics of ammonia-hydrogen-air mixtures
10.1016/j.fuel.2024.131046 · doi-reference
Development of an ammonia combustion model integrated in a 3D-CFD code for assessing the performance and NO emissions of an ammonia-hydrogen fueled spark-ignition engine
10.1016/j.ijhydene.2024.12.217 · doi-reference
A review of four case studies assessing the potential for hydrogen penetration of the future energy system
10.1016/j.ijhydene.2019.01.168 · doi-reference
Perspectives on NOX Emissions and Impacts from Ammonia Combustion Processes
10.1021/acs.energyfuels.4c03381 · doi-reference
Ammonia as a Green Carbon-Free fuel: a Pathway to the Sustainable Energy Economy
10.1021/acsenergylett.4c02288 · doi-reference
10.1016/j.rser.2025.115915
10.1016/j.rser.2025.115915 · doi-reference
Ammonia as a hydrogen energy carrier
10.1016/j.ijhydene.2022.05.096 · doi-reference