Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning

Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning

Abstract This research investigates the adsorption desulfurization of liquid fuels using artificial neural networks (ANN) and response surface methodology (RSM) approaches. The effectiveness of sulfur removal was predicted by analyzing five important factors: temperature, concentration, surface area...

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Bibliographic Details
Main Authors: Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Adsorptive desulfurization
Activated carbon
Artificial neural network
Response surface methodology
Online Access:https://doi.org/10.1038/s41598-025-88434-1
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