Research graph
References from A Surrogate-Based Multi-Objective optimization framework for Ammonia–Hydrogen combustion systems. Local targets link to admitted publications; unresolved targets remain external evidence.
Ammonia as a hydrogen energy carrier
10.1016/j.ijhydene.2022.05.096 · 2022 · External reference
10.1016/j.rser.2025.115915
10.1016/j.rser.2025.115915 · External reference
Ammonia as a Green Carbon-Free fuel: a Pathway to the Sustainable Energy Economy
10.1021/acsenergylett.4c02288 · 2024 · External reference
Perspectives on NOX Emissions and Impacts from Ammonia Combustion Processes
10.1021/acs.energyfuels.4c03381 · 2024 · External 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 · 2019 · External 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 · 2025 · External reference
Experimental study on the explosion characteristics of ammonia-hydrogen-air mixtures
10.1016/j.fuel.2024.131046 · 2024 · External 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 · 2025 · External reference
Chemical kinetic modelling of ammonia/hydrogen/air ignition, premixed flame propagation and NO emission
10.1016/j.fuel.2019.02.102 · 2019 · External reference
Machine learning for combustion
10.1016/j.egyai.2021.100128 · 2022 · External reference
Review of Artificial Intelligent Algorithms for Engine Performance, Control, and Diagnosis
10.3390/en16031206 · 2023 · External 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 · 2023 · External reference
Combustion optimization in consolidated porous media for thermo-photovoltaic system application using Response Surface Methodology
10.1016/j.ijthermalsci.2022.107950 · 2023 · External reference
Supervised Machine Learning Approaches for predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: a Systematic Review
2024 · External reference
A Data-Driven Framework for Computationally Efficient Integration of Chemical Kinetics using Neural Ordinary Differential Equations
2022 · External reference
A Review of Physics-Informed Machine Learning in Fluid Mechanics
10.3390/en16052343 · 2023 · External reference
Data-driven prediction of flame temperature and pollutant emission in distributed combustion
10.1016/j.apenergy.2021.118502 · 2022 · External reference
Machine learning-driven multi-objective optimisation of ammonia co-firing with highly reactive fuels
10.1016/j.enconman.2025.120071 · 2025 · External reference
Prediction of biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations
10.1016/j.fuel.2023.130516 · 2024 · External reference
Fuel rich ammonia-hydrogen injection for humidified gas turbines
10.1016/j.apenergy.2019.113334 · 2019 · External 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 · 2018 · External 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 · 2021 · External reference
Unresolved reference
External 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 · 2017 · External reference
Preliminary study on lean premixed combustion ofammonia-hydrogen for swirling gas turbine combustors
10.1016/j.ijhydene.2017.08.028 · 2017 · External reference
Chemical Reactor Network modeling of ammonia–hydrogen combustion in a gas turbine: stochastic sensitivity analysis
10.1016/j.applthermaleng.2024.122734 · 2024 · External 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 · 2022 · External reference
Investigating the potential of waste glass in paver block production using RSM
10.1038/s41598-024-72789-y · 2024 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
10.1016/j.powtec.2024.119623
10.1016/j.powtec.2024.119623 · External reference
Using XGBoost-SHAP for understanding the ecosystem services trade-off effects and driving mechanisms in ecologically fragile areas
10.3389/fpls.2025.1552818 · 2025 · External 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 · 2024 · External reference
Unresolved reference
External reference
CV-YOLOv10-AR-M: Foreign Object Detection in Pu-Erh Tea based on Five-Fold Cross-Validation
10.3390/foods14101680 · 2025 · External reference
Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework
10.1016/j.bspc.2023.105602 · 2024 · External reference
Using the coefficient of determination to identify injury regions after stroke in pre-clinical FDG-PET images
10.1016/j.compbiomed.2024.109401 · 2025 · External reference
Unresolved reference
2025 · External reference
A comparative study of machine learning approaches for an accurate predictive modeling of solar energy generation
10.1016/j.egyr.2024.07.010 · 2024 · External reference
A Unified Approach to Interpreting Model predictions
2017 · External reference
Interpreting random forest analysis of ecological models to move from prediction to explanation
10.1038/s41598-023-30313-8 · 2023 · External reference
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP)
2022 · External reference
Application of Example-based Explainable Artificial Intelligence (XAI) for Analysis and Interpretation of Medical Imaging: a Systematic Review
10.1109/access.2024.3367606 · 2024 · External reference
Operative generative design using non-dominated sorting genetic algorithm II (NSGA-II)
10.1016/j.autcon.2023.105026 · 2023 · External reference
Multi-Optimization of Injection Parameters Affecting Emissions in a Diesel Engine Fueled with Fischer–Tropsch fuel based on NSGA-II
10.1021/acsomega.2c07465 · 2023 · External reference
A comprehensive survey on NSGA-II for multi-objective optimization and applications
10.1007/s10462-023-10526-z · 2023 · External reference
Modeling of ammonia combustion at low pressure
10.1016/j.combustflame.2012.06.003 · 2012 · External reference
Study of NOx emission for hydrogen enriched compressed natural along with exhaust gas recirculation in spark ignition engine by Zeldovich’ mechanism, support vector machine and regression correlation
10.1016/j.fuel.2022.123577 · 2022 · External reference
A comprehensive survey on NSGA-II for multi-objective optimization and applications
10.1007/s10462-023-10526-z · ExternalCitation · doi-reference
Fuel rich ammonia-hydrogen injection for humidified gas turbines
10.1016/j.apenergy.2019.113334 · ExternalCitation · doi-reference
Data-driven prediction of flame temperature and pollutant emission in distributed combustion
10.1016/j.apenergy.2021.118502 · ExternalCitation · doi-reference
Chemical Reactor Network modeling of ammonia–hydrogen combustion in a gas turbine: stochastic sensitivity analysis
10.1016/j.applthermaleng.2024.122734 · ExternalCitation · 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 · ExternalCitation · doi-reference
Operative generative design using non-dominated sorting genetic algorithm II (NSGA-II)
10.1016/j.autcon.2023.105026 · ExternalCitation · doi-reference
Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework
10.1016/j.bspc.2023.105602 · ExternalCitation · doi-reference
Modeling of ammonia combustion at low pressure
10.1016/j.combustflame.2012.06.003 · ExternalCitation · doi-reference
Using the coefficient of determination to identify injury regions after stroke in pre-clinical FDG-PET images
10.1016/j.compbiomed.2024.109401 · ExternalCitation · doi-reference
Machine learning for combustion
10.1016/j.egyai.2021.100128 · ExternalCitation · doi-reference
A comparative study of machine learning approaches for an accurate predictive modeling of solar energy generation
10.1016/j.egyr.2024.07.010 · ExternalCitation · doi-reference
Machine learning-driven multi-objective optimisation of ammonia co-firing with highly reactive fuels
10.1016/j.enconman.2025.120071 · ExternalCitation · doi-reference
Chemical kinetic modelling of ammonia/hydrogen/air ignition, premixed flame propagation and NO emission
10.1016/j.fuel.2019.02.102 · ExternalCitation · doi-reference
Study of NOx emission for hydrogen enriched compressed natural along with exhaust gas recirculation in spark ignition engine by Zeldovich’ mechanism, support vector machine and regression correlation
10.1016/j.fuel.2022.123577 · ExternalCitation · doi-reference
Prediction of biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations
10.1016/j.fuel.2023.130516 · ExternalCitation · doi-reference
Experimental study on the explosion characteristics of ammonia-hydrogen-air mixtures
10.1016/j.fuel.2024.131046 · ExternalCitation · 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 · ExternalCitation · doi-reference
Preliminary study on lean premixed combustion ofammonia-hydrogen for swirling gas turbine combustors
10.1016/j.ijhydene.2017.08.028 · ExternalCitation · 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 · ExternalCitation · 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 · ExternalCitation · 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 · ExternalCitation · doi-reference
Ammonia as a hydrogen energy carrier
10.1016/j.ijhydene.2022.05.096 · ExternalCitation · 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 · ExternalCitation · 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 · ExternalCitation · doi-reference
Combustion optimization in consolidated porous media for thermo-photovoltaic system application using Response Surface Methodology
10.1016/j.ijthermalsci.2022.107950 · ExternalCitation · doi-reference
10.1016/j.powtec.2024.119623
10.1016/j.powtec.2024.119623 · ExternalCitation · 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 · ExternalCitation · doi-reference
10.1016/j.rser.2025.115915
10.1016/j.rser.2025.115915 · ExternalCitation · doi-reference
Perspectives on NOX Emissions and Impacts from Ammonia Combustion Processes
10.1021/acs.energyfuels.4c03381 · ExternalCitation · doi-reference
Ammonia as a Green Carbon-Free fuel: a Pathway to the Sustainable Energy Economy
10.1021/acsenergylett.4c02288 · ExternalCitation · doi-reference
Multi-Optimization of Injection Parameters Affecting Emissions in a Diesel Engine Fueled with Fischer–Tropsch fuel based on NSGA-II
10.1021/acsomega.2c07465 · ExternalCitation · doi-reference
Random forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
Interpreting random forest analysis of ecological models to move from prediction to explanation
10.1038/s41598-023-30313-8 · ExternalCitation · doi-reference
Investigating the potential of waste glass in paver block production using RSM
10.1038/s41598-024-72789-y · ExternalCitation · 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 · ExternalCitation · doi-reference
Application of Example-based Explainable Artificial Intelligence (XAI) for Analysis and Interpretation of Medical Imaging: a Systematic Review
10.1109/access.2024.3367606 · ExternalCitation · 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 · ExternalCitation · doi-reference
Review of Artificial Intelligent Algorithms for Engine Performance, Control, and Diagnosis
10.3390/en16031206 · ExternalCitation · doi-reference
A Review of Physics-Informed Machine Learning in Fluid Mechanics
10.3390/en16052343 · ExternalCitation · doi-reference
CV-YOLOv10-AR-M: Foreign Object Detection in Pu-Erh Tea based on Five-Fold Cross-Validation
10.3390/foods14101680 · ExternalCitation · doi-reference
