[HTML][HTML] Prediction of hydrogen storage in dibenzyltoluene empowered with machine learning
Hydrogen storage using liquid organic hydrogen carriers (LOHCs) is a promising method.
The data sets for hydrogen storage using dibenzyltoluene (DBT) are considered in this …
The data sets for hydrogen storage using dibenzyltoluene (DBT) are considered in this …
Hydrogen storage prediction in dibenzyltoluene as liquid organic hydrogen carrier empowered with weighted federated machine learning
The hydrogen stored in liquid organic hydrogen carriers (LOHCs) has an advantage of safe
and convenient hydrogen storage system. Dibenzyltoluene (DBT), due to its low …
and convenient hydrogen storage system. Dibenzyltoluene (DBT), due to its low …
Predicting the solubility of hydrogen in hydrocarbon fractions: advanced data-driven machine learning approach and equation of state
MN Amar, FM Alqahtani, H Djema, K Ourabah… - Journal of the Taiwan …, 2023 - Elsevier
Background Hydrogen is a free carbon source for energy that attracts massive interest to be
utilized during energy transition period in the near future. Molecular hydrogen soon will be a …
utilized during energy transition period in the near future. Molecular hydrogen soon will be a …
Hydrogen solubility in n-alkanes: Data mining and modelling with machine learning approach
Hydrogen solubility in hydrocarbons plays an important role in designing, optimizing, and
modelling many processes including underground hydrogen storage. This study applies four …
modelling many processes including underground hydrogen storage. This study applies four …
Machine learning based prediction of metal hydrides for hydrogen storage, part I: Prediction of hydrogen weight percent
The openly available database provided by the US Department of Energy on hydrides for
hydrogen storage were analyzed through supervised machine learning to rank features in …
hydrogen storage were analyzed through supervised machine learning to rank features in …
Relying on machine learning methods for predicting hydrogen solubility in different alcoholic solvents
There are high demands for reliable hydrogen-alcohol phase equilibria in separation and
conversion-related industrial processes. Since experimental measurements cannot be …
conversion-related industrial processes. Since experimental measurements cannot be …
Experimental investigation, development of machine learning model and optimization studies of a metal hydride reactor with embedded helical cooling tube
Metal hydride hydrogen storage systems are gaining popularity due to their advantages and
suitability for various applications in variety of fields. In this study, a metal hydride reactor …
suitability for various applications in variety of fields. In this study, a metal hydride reactor …
Machine learning modelling and optimization for metal hydride hydrogen storage systems
Solid-state storage is a promising way to store hydrogen due to its high energy density.
However, the development of a solid-state storage system is a complex problem due to …
However, the development of a solid-state storage system is a complex problem due to …
Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning
The prediction of hydrogen release ability is indispensable to evaluating hydrogen storage
performance of LiBH 4-based mixtures before experimentation. To achieve this goal …
performance of LiBH 4-based mixtures before experimentation. To achieve this goal …
Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach
M Gheytanzadeh, F Rajabhasani, A Baghban… - Scientific Reports, 2022 - nature.com
Hydrogen is a promising alternative energy source due to its significantly high energy
density. Also, hydrogen can be transformed into electricity in energy systems such as fuel …
density. Also, hydrogen can be transformed into electricity in energy systems such as fuel …