[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
[HTML][HTML] Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election …
Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …
the uniqueness of both thermal and separation distillation configurations. In this context, the …
[HTML][HTML] Experimental investigation and machine learning modeling using LSTM and special relativity search of friction stir processed AA2024/Al2O3 nanocomposites
In this study, the friction stir technique is proposed to process aluminum nanocomposites
reinforced with alumina nanoparticles. The effects of different processing parameters …
reinforced with alumina nanoparticles. The effects of different processing parameters …
[HTML][HTML] Predictive Models for Biodiesel Performance and Emission Characteristics in Diesel Engines: A Review
W Ai, HM Cho - Energies, 2024 - mdpi.com
With the increasing global demand for renewable energy, biodiesel has become a
promising alternative to fossil fuels with significant environmental benefits. This article …
promising alternative to fossil fuels with significant environmental benefits. This article …
Machine Learning Accelerated Discovery of Entropy-Stabilized Oxide Catalysts for Catalytic Oxidation
X Duan, Y Li, J Zhao, M Zhang, X Wang… - Journal of the …, 2024 - ACS Publications
The catalytic properties of unary to ternary metal oxides were already well experimentally
explored, and the left space seems like only high entropy metal oxides (HEOs, element …
explored, and the left space seems like only high entropy metal oxides (HEOs, element …
Investigating the impact of alumina nanoparticles in coconut oil distillate biodiesel to lessen emissions in direct injection diesel engine
Petroleum fuels are commonly used for automobiles. However, the continuous depletion
and exhaust gas emission causes serious problems. So, there is a need for an alternative …
and exhaust gas emission causes serious problems. So, there is a need for an alternative …
Machine learning modeling of the capacitive performance of N-doped porous biochar electrodes with experimental verification
X Liu, H Yang, P Xue, Y Tang, C Ye, W Guo - Renewable Energy, 2024 - Elsevier
N-doped porous biochar is considered as a promising carbon material for supercapacitor
electrodes application. However, the intrinsic relations and effect mechanisms of the pore …
electrodes application. However, the intrinsic relations and effect mechanisms of the pore …
Machine Learning Technologies in the Supply Chain Management Research of Biodiesel: A Review
S Kim, J Seo, S Kim - Energies, 2024 - mdpi.com
Biodiesel has received worldwide attention as a renewable energy resource that reduces
greenhouse gas (GHG) emissions. Unlike traditional fossil fuels, such as coal, oil, and …
greenhouse gas (GHG) emissions. Unlike traditional fossil fuels, such as coal, oil, and …
Preparation of Nanoparticle-Enriched Fuels and Prediction of Cylinder Pressure Through Machine Learning Models
KM Karaoglan, M Çelik - Arabian Journal for Science and Engineering, 2024 - Springer
Precise estimation of cylinder pressure (CP) in internal combustion engines (ICEs) is critical
for optimizing engine performance, increasing fuel efficiency, and controlling emissions. This …
for optimizing engine performance, increasing fuel efficiency, and controlling emissions. This …
[HTML][HTML] Application of computational technologies for transesterification of waste cooking oil into biodiesel
O Awogbemi, DA Desai - Biomass and Bioenergy, 2025 - Elsevier
Continued depletion of fossil-based energy resources, environmental concerns, and the
necessity to assuage the ever-increasing global energy demand have resulted in efforts to …
necessity to assuage the ever-increasing global energy demand have resulted in efforts to …