A comprehensive review on the role of hydrogen in renewable energy systems
R Bhandari, N Adhikari - International Journal of Hydrogen Energy, 2024 - Elsevier
Hydrogen is emerging as a critical player in transitioning to sustainable and renewable
energy systems, serving roles in energy storage, grid balancing, and decarbonization. This …
energy systems, serving roles in energy storage, grid balancing, and decarbonization. This …
Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks
H Mashhadimoslem, MA Abdol, P Karimi… - ACS …, 2024 - ACS Publications
Machine learning (ML) using data sets of atomic and molecular force fields (FFs) has made
significant progress and provided benefits in the fields of chemistry and material science …
significant progress and provided benefits in the fields of chemistry and material science …
Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques
Pyrolysis, as a thermochemical conversion of biomass, is a superior biofuel production
procedure. The determining procedure for the optimal operational parameters, biomass …
procedure. The determining procedure for the optimal operational parameters, biomass …
Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects
Enhanced oil recovery (EOR) using CO 2 injection is promising with economic and
environmental benefits as an active climate-change mitigation approach. Nevertheless, the …
environmental benefits as an active climate-change mitigation approach. Nevertheless, the …
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage
Hydrogen is a clean and sustainable renewable energy source with significant potential for
use in energy storage applications because of its high energy density. In particular …
use in energy storage applications because of its high energy density. In particular …
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 …
Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems
This study investigates the application of machine learning techniques—specifically
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
[HTML][HTML] Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions
The demand for clean and sustainable energy solutions is escalating as the global
population grows and economies develop. Fossil fuels, which currently dominate the energy …
population grows and economies develop. Fossil fuels, which currently dominate the energy …
Recent progress on advanced solid adsorbents for CO2 capture: from mechanism to machine learning
Environmental pollution has become a serious issue due to the rapid development of
urbanization, industrialization, and vehicle traffic. Notably, fossil fuel combustion significantly …
urbanization, industrialization, and vehicle traffic. Notably, fossil fuel combustion significantly …
Energy harvesting via thermoelectric generators for green hydrogen production: methods and techniques
SW Sharshir, A Joseph, MM Elsayad… - Process Safety and …, 2024 - Elsevier
The integration of presentectric generators (TEGs) into industrial processes and multi-
generation systems presents a promising solution for recovering low-grade waste heat. This …
generation systems presents a promising solution for recovering low-grade waste heat. This …