[HTML][HTML] Machine learning-assisted development of gas separation membranes: A review
Gas separation membranes have been a hot topic of research in recent decades due to their
low costs, high energy efficiency and wide range of applications. Machine learning provide a …
low costs, high energy efficiency and wide range of applications. Machine learning provide a …
SO2 Capture Using Nanostructured Materials: Recent Developments, Challenges, and Future Outlooks
TM Abdalla, MA Adam, SA Onaizi - Surfaces and Interfaces, 2024 - Elsevier
The release of air pollutants from anthropogenic sources is the main cause of several health
and environmental problems. Thus, the development of efficient and cost-effective …
and environmental problems. Thus, the development of efficient and cost-effective …
Simulation and Machine Learning-Integrated Investigation of Double-Linker MOFs for the Separation of CF4 from CH4 and N2
One of the most crucial problems of the modern world is to combat the emission of
greenhouse gases as these lead to extreme weather conditions, droughts, etc., and …
greenhouse gases as these lead to extreme weather conditions, droughts, etc., and …
The COF Space: Materials Features, Gas Adsorption, and Separation Performances Assessed by Machine Learning
GO Aksu, S Keskin - ACS Materials Letters, 2025 - ACS Publications
Covalent organic frameworks (COFs) are promising materials for gas adsorption; however,
only a small number of COFs has been studied for a few types of gas separations to date. To …
only a small number of COFs has been studied for a few types of gas separations to date. To …