Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development
With the projected global surge in hydrogen demand, driven by increasing applications and
the imperative for low-emission hydrogen, the integration of machine learning (ML) across …
the imperative for low-emission hydrogen, the integration of machine learning (ML) across …
[HTML][HTML] A surrogate model for the economic evaluation of renewable hydrogen production from biomass feedstocks via supercritical water gasification
S Rodgers, A Bowler, L Wells, CS Lee, M Hayes… - International Journal of …, 2024 - Elsevier
Supercritical water gasification is a promising technology for renewable hydrogen
production from high moisture content biomass. This work produces a machine learning …
production from high moisture content biomass. This work produces a machine learning …
Synthesis, delineation and technological advancements of algae biochar for sustainable remediation of the emerging pollutants from wastewater-a review
The use of algae for value-added product and biorefining applications is enchanting
attention among researchers in recent years due to its remarkable photosynthetic ability …
attention among researchers in recent years due to its remarkable photosynthetic ability …
Modelling and optimization of sorption-enhanced biomass chemical loo** gasification coupling with hydrogen generation system based on neural network and …
X Wang, S Wang, B **, Z Ma, X Ling - Chemical Engineering Journal, 2023 - Elsevier
Chemical loo** gasification of biomass (BCLG) can realize the production of pure syngas
without an extra purification process. By coupling steam oxidation of oxygen carrier in BCLG …
without an extra purification process. By coupling steam oxidation of oxygen carrier in BCLG …
Can biomass structural composition be predicted from a small dataset using a hybrid deep learning approach?
JA Okolie - Industrial Crops and Products, 2023 - Elsevier
The accurate determination of biomass composition can enhance the efficacy of biofuel yield
evaluations and provide valuable estimates for process economic viability. This study …
evaluations and provide valuable estimates for process economic viability. This study …
[HTML][HTML] Co-pyrolysis of coal-derived sludge and low-rank coal: Thermal behaviour and char yield prediction
T Zhang, C Zhang, H Ren, Z Huang, J Feng… - Fuel Processing …, 2025 - Elsevier
Coal-derived sludge, a solid waste produced by the coal industry, offers potential
opportunities for resource recovery due to its high organic matter. However, its products face …
opportunities for resource recovery due to its high organic matter. However, its products face …
[HTML][HTML] Bayesian Hyperparameter Optimization of Machine Learning Models for Predicting Biomass Gasification Gases
P Cihan - Applied Sciences, 2025 - mdpi.com
Predicting biomass gasification gases is crucial for energy production and environmental
monitoring but poses challenges due to complex relationships and variability. Machine …
monitoring but poses challenges due to complex relationships and variability. Machine …
[HTML][HTML] Hydrogen production from plastic waste: A comprehensive simulation and machine learning study
M Lahafdoozian, H Khoshkroudmansouri… - International Journal of …, 2024 - Elsevier
Gasification, a highly efficient method, is under extensive investigation due to its potential to
convert biomass and plastic waste into eco-friendly energy sources and valuable fuels …
convert biomass and plastic waste into eco-friendly energy sources and valuable fuels …
Integration of supervised machine learning for predictive evaluation of chemical loo** hydrogen production and storage system
R Li, J Zeng, Y Wei, Z Shen - Sustainable Energy & Fuels, 2025 - pubs.rsc.org
Chemical loo** technology is an emerging method for hydrogen production and storage,
characterized by its environmentally friendly and safe inherent gas separation processes …
characterized by its environmentally friendly and safe inherent gas separation processes …