Enhanced hydrogen storage efficiency with sorbents and machine learning: a review

AI Osman, W Abd-Elaziem, M Nasr, M Farghali… - Environmental …, 2024‏ - Springer
Hydrogen is viewed as the future carbon–neutral fuel, yet hydrogen storage is a key issue
for develo** the hydrogen economy because current storage techniques are expensive …

[HTML][HTML] From classic to cutting-edge solutions: a comprehensive review of materials and methods for heavy metal removal from water bodies

AE Gahrouei, A Rezapour, M Pirooz… - Desalination and Water …, 2024‏ - Elsevier
Waterborne heavy metals pose significant threats to both the environment and public health,
causing neurological damage, developmental disorders, organ damage, and cancer. It is …

Strategies for ammonia recovery from wastewater: a review

M Farghali, Z Chen, AI Osman, IM Ali, D Hassan… - Environmental …, 2024‏ - Springer
The circular economy requires advanced methods to recycle waste matter such as
ammonia, which can be further used as a fuel and a precursor of numerous value-added …

Machine learning for the advancement of membrane science and technology: A critical review

G Ignacz, L Bader, AK Beke, Y Ghunaim… - Journal of Membrane …, 2024‏ - Elsevier
Abstract Machine learning (ML) has been rapidly transforming the landscape of natural
sciences and has the potential to revolutionize the process of data analysis and hypothesis …

Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review

V Ganthavee, AP Trzcinski - Environmental Chemistry Letters, 2024‏ - Springer
The access to clean and drinkable water is becoming one of the major health issues
because most natural waters are now polluted in the context of rapid industrialization and …

Valorization of argan paste cake waste: Enhanced CO2 adsorption on chemically activated carbon

J Serafin, MC Román-Martínez, M Saidi… - Journal of Analytical and …, 2024‏ - Elsevier
This study addresses the critical need to reduce energy penalties in CO 2 capture processes
by exploring the potential of activated carbons derived from argan paste cake for post …

An integral and multidimensional review on multi-layer perceptron as an emerging tool in the field of water treatment and desalination processes

AF Reza, R Singh, RK Verma, A Singh, YH Ahn… - Desalination, 2024‏ - Elsevier
An increase in population leads to an increase in the water demand. Technological
advancements are racing to address water shortages. Recent advances in deep learning …

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

R Dangayach, N Jeong, E Demirel, N Uzal… - Environmental …, 2024‏ - ACS Publications
Polymeric membranes have been widely used for liquid and gas separation in various
industrial applications over the past few decades because of their exceptional versatility and …

Unifying mixed gas adsorption in molecular sieve membranes and MOFs using machine learning

S Dasgupta, RS Amal, PK Maiti - Separation and Purification Technology, 2025‏ - Elsevier
Recent machine learning models to accurately obtain gas adsorption isotherms focus on
polymers or metal–organic frameworks (MOFs) separately. The difficulty in creating a unified …

Applications and advancements in membrane technologies for sustainable petroleum refinery wastewater treatment

GR dos Anjos Silva, VR Moreira… - Journal of Environmental …, 2025‏ - Elsevier
The improper discharge of oil refinery wastewater poses severe threats to ecosystems due
to its hazardous compounds, highlighting the need effective treatment solutions. Membrane …