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Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
This study introduces machine learning (ML) algorithms to predict hydrogen (H 2)
thermodynamic properties for geological storage, focusing on its mixtures with natural gas …
thermodynamic properties for geological storage, focusing on its mixtures with natural gas …
Progress in carbon dioxide capture, storage and monitoring in geological landform
P Ndlovu, R Bulannga, LL Mguni - Frontiers in Energy Research, 2024 - frontiersin.org
Carbon Capture and Storage (CCS) is recognized as a potent strategy for managing the
accumulation of human-generated CO2 in the atmosphere, hel** to alleviate climate …
accumulation of human-generated CO2 in the atmosphere, hel** to alleviate climate …
[HTML][HTML] Integrating photovoltaic technologies in smart cities: Benefits, risks and environmental impacts with a focus on future prospects in Poland
G Yandem, J Willner, M Jabłońska-Czapla - Energy Reports, 2025 - Elsevier
The use of photovoltaic panels in 21st-century cities has become widespread. Renewable
energy systems (RES), particularly various types of photovoltaic panels, are being installed …
energy systems (RES), particularly various types of photovoltaic panels, are being installed …
Optimizing Methane Uptake on N/O Functionalized Graphene via DFT, Machine Learning, and Uniform Manifold Approximation and Projection (UMAP) Techniques
M Rahimi, A Mehrpanah, P Mouchani… - Industrial & …, 2024 - ACS Publications
Carbon materials possess active sites and functionalities on the surface that can attract
prominent interest as solid adsorbents for diverse gas adsorption. This study aimed to …
prominent interest as solid adsorbents for diverse gas adsorption. This study aimed to …
Forecasting geothermal temperature in western Yemen with Bayesian-optimized machine learning regression models
Geothermal energy is a sustainable resource for power generation, particularly in Yemen.
Efficient utilization necessitates accurate forecasting of subsurface temperatures, which is …
Efficient utilization necessitates accurate forecasting of subsurface temperatures, which is …
Identification of Stable Intermetallic Compounds for Hydrogen Storage via Machine Learning
AS Athul, AV Muthachikavil, VS Buddhiraju… - Energy …, 2025 - Wiley Online Library
Hydrogen is one of the most promising alternatives to fossil fuels for energy as it is
abundant, clean and efficient. Storage and transportation of hydrogen are two key …
abundant, clean and efficient. Storage and transportation of hydrogen are two key …
Optimization of entrainment and interfacial flow patterns in countercurrent air-water two-phase flow in vertical pipes
Y Wang, F Luo, Z Zhu, R Li, M Sina - Frontiers in Materials, 2024 - frontiersin.org
This study investigates countercurrent air-water two-phase flow in vertical pipes with inner
diameters of 26 mm and 44 mm and a height of 2000 mm, under controlled conditions to …
diameters of 26 mm and 44 mm and a height of 2000 mm, under controlled conditions to …