Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning

Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning

Abstract This work investigates the utilization of ensemble machine learning methods in forecasting the distribution of chemical concentrations in membrane separation system for removal of an impurity from water. Mass transfer was evaluated using CFD and machine learning performed numerical simulati...

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Bibliographic Details
Main Authors: Suranjana V. Mayani, Hessan Mohammad, Soumya V. Menon, Rishabh Thakur, Abdulqader Faris Abdulqader, S. Supriya, Prabhat Kumar Sahu, Kamal Kant Joshi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Numerical simulation
Removal
CFD
Model
Machine learning
Mass transfer
Online Access:https://doi.org/10.1038/s41598-025-09156-y
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