Biomass-derived carbon-based catalysts for lignocellulosic biomass and waste valorisation: a circular approach

M Belluati, S Tabasso, EC Gaudino, G Cravotto… - Green …, 2024 - pubs.rsc.org
The growing demand for alternative clean energy sources and environmental crises are
causing great concern for humankind. Researchers have devoted effort to finding cheap …

Introduction of Machine Learning and artificial intelligence in biofuel technology

JA Okolie - Current Opinion in Green and Sustainable Chemistry, 2024 - Elsevier
Artificial intelligence (AI) including Machine learning (ML) has played a leading role in
advancing biofuel technology with applications ranging from product yield prediction …

Exploring and understanding the microwave-assisted pyrolysis of waste lignocellulose biomass using gradient boosting regression machine learning model

S Sinha, CS Rao, A Kumar, DV Surya, T Basak - Renewable Energy, 2024 - Elsevier
The production of bio-oil is a complex process influenced by various parameters. Optimizing
these parameters can significantly enhance bio-oil yield, thus improving process efficiency …

Multi-objective genetic algorithm approach for enhanced cumulative hydrogen and methane-rich syngas emission through co-pyrolysis of de-oiled microalgae and …

S Rawat, L Wagadre, S Kumar - Renewable Energy, 2024 - Elsevier
Towards establishing low-carbon bio-economy, the energy-rich syngas is considered a
global energy carrier. Targeting hydrogen as a promising advanced fuel, the significance of …

Tailoring and Visualizing Macropores of the Zeolite Monolith to Reveal the Coke Resistance Performance for Bio-oil Hydrodeoxygenation

F Gan, X Jiang, Z Jin, M Tan, X Xie, Q Peng, G Cao… - ACS …, 2024 - ACS Publications
Mass transport in conventional microporous zeolite catalysts can be enhanced by
introducing secondary mesopores during hydrodeoxygenation (HDO). However, the impact …

Machine Learning Prediction of Particle Self-rotation Velocity Distribution in Cyclone Separators

X Zhang, S Ma, X Wang, Z He, Y Chang, X Jiang - Energy, 2025 - Elsevier
The self-rotation of particles within cyclones has garnered significant attention due to its
critical role in separation processes and mass transfer enhancement. This study investigates …

Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm

L Xia, B Wu, X Cui, T Ran, Q Li, Y Zhou - Bioresource Technology, 2025 - Elsevier
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately
predicting treated greywater quality is of great significance for water reuse. In this work …

Maximization of Hydrogen Production via Methane Steam Reforming in a Wavy Microreactor by Optimization of Catalyst Coating: A Combined Computational and …

M Esfandiary, N Karimi, S Saedodin - Industrial & Engineering …, 2024 - ACS Publications
This study introduces an advanced methodology for optimizing catalytic coatings on
microreactor walls used in the steam reforming of methane. By integrating computational …

Ensemble Model Approach for Predicting the Yield of Dehydrogenation Products during the Oxidative Dehydrogenation of n-Butane

G Tanimu, NA Adegoke, JO Ajadi, Y Yahaya… - ACS …, 2024 - ACS Publications
Efficient and selective oxidative dehydrogenation (ODH) catalysts are crucial to advance the
production of valuable petrochemicals. In this study, we leverage the power of machine …

Data-Driven Framework for the Techno-Economic Assessment of Sustainable Aviation Fuel from Pyrolysis

JA Okolie, K Moradi, BE Rogachuk, BN Narra… - BioEnergy …, 2025 - Springer
The aviation sector plays a vital role in global transportation, economic growth, and social
integration. However, its rapid expansion has led to increased emissions. Sustainable …