Search Results - "Tayyebi, Arash"
-
1
Can machine learning methods guide gas separation membranes fabrication?
Published in Journal of Membrane Science Letters (01-11-2022)“…•ML models as an alternative approach to test polymeric membrane's performance.•A guide for newcomers to model a ML for gas separation membranes…”
Get full text
Journal Article -
2
Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models
Published in Journal of cheminformatics (18-10-2023)“…A reliable and practical determination of a chemical species’ solubility in water continues to be examined using empirical observations and exhaustive…”
Get full text
Journal Article -
3
Carboxyl-Engineered Silicon Quantum Dots (CSiQDs) as an Efficient Scale Inhibitor: Formulation Inhibition Mechanism
Published in Industrial & engineering chemistry research (12-04-2024)“…Multiple recent initiatives have focused on developing environmentally friendly antiscalants/scale inhibitors; however, most of the investigated green…”
Get full text
Journal Article -
4
Membrane Science Meets Machine Learning: Future and Potential Use in Assisting Membrane Material Design and Fabrication
Published in Separation and purification reviews (02-04-2024)“…The evolving membrane technology integrated with machine learning (ML) algorithms can significantly advance the novel membrane material design and fabrication…”
Get full text
Journal Article -
5
Machine learning – Driven surface grafting of thin-film composite reverse osmosis (TFC-RO) membrane
Published in Desalination (29-06-2024)“…Modifying reverse-osmosis (RO) membrane performance is challenging and time-consuming due to the complex interplay of various factors that influence the…”
Get full text
Journal Article -
6
CFD simulation of seawater desalination through a rectangular electrodialysis cell
Published in Desalination and water treatment (01-01-2019)“…Electrodialysis (ED) is one of the membranous process for seawater desalination, which due to the less energy consuming is a desirable method in comparison…”
Get full text
Journal Article