Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics

Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics

Abstract A combination of artificial intelligence (AI) and computational fluid dynamics was carried out to advance the modeling of adsorption separation processes. A comparative examination of three AI-based regression models including Gaussian Process Regression (GPR), Multi-layer Perceptron (MLP),...

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Main Authors: Heyder Mhohamdi, Usama S. Altimari, Krunal Vaghela, V. Vivek, Sarbeswara Hota, Devendra Singh, Mahesh Manchanda, Shirin Shomurotova, Prakhar Tomar, Mohammad Mahtab Alam
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Adsorption
Porous materials
Separation
Machine learning
MLP model
Online Access:https://doi.org/10.1038/s41598-025-15538-z
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https://doi.org/10.1038/s41598-025-15538-z

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