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Environmental Science and Pollution Research International
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April 14, 2025
Optimization of CO<sub>2</sub> absorption into MDEA-PZ-sulfolane hybrid solution using machine learning algorithms and RSM
Abolfazl Shokri, Sepehr Aarabi Dahej, Ahad Ghaemi
Scientific Reports
|
December 13, 2022
Intelligent prediction models based on machine learning for CO<sub>2</sub> capture performance by graphene oxide-based adsorbents
Farnoush Fathalian, Sepehr Aarabi, Ahad Ghaemi, et al.
Scientific Reports
|
January 24, 2025
A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks
Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
Environmental Science and Pollution Research International
|
April 14, 2025
Optimization of CO<sub>2</sub> absorption into MDEA-PZ-sulfolane hybrid solution using machine learning algorithms and RSM
Abolfazl Shokri, Sepehr Aarabi Dahej, Ahad Ghaemi
Scientific Reports
|
December 13, 2022
Intelligent prediction models based on machine learning for CO<sub>2</sub> capture performance by graphene oxide-based adsorbents
Farnoush Fathalian, Sepehr Aarabi, Ahad Ghaemi, et al.
Scientific Reports
|
January 24, 2025
A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks
Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, et al.
Page
of 1