Machine learning assisted modeling of interfacial tension in the system N2/Brine-Reference-Cited by-同舟云学术

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Machine learning assisted modeling of interfacial tension in the system N2/Brine

Published:2023-06 Issue: Volume:33 Page:101071
ISSN:2352-5541
Container-title:Sustainable Chemistry and Pharmacy
language:en
Short-container-title:Sustainable Chemistry and Pharmacy

Author:

Vakili-Nezhaad G. Reza,Al Ajmi Adel,Al Shaaili Ahmed,Mohammadi Farzaneh,Kazemi Alireza

Funder

Isfahan University of Medical Sciences

Sultan Qaboos University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Pharmaceutical Science,Pollution,Environmental Chemistry

Reference29 articles.

1. Support vector regression and ANN approach for predicting the ground water quality

2. CO2 capture from power stations running with natural gas (NGCC) and pulverized coal (PC): Assessment of a new chemical solvent based on aqueous solutions of N-methyldiethanolamine + triethylene tetramine

3. Molecular Dynamics Simulations Study on the Shear Viscosity, Density, and Equilibrium Interfacial Tensions of CO2 + Brines and Brines + CO2 + n-Decane Systems

4. Deploying of the carbon capture technologies for CO2 emission mitigation in the industrial sectors

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1. Optimal Gasoline Price Predictions: Leveraging the ANFIS Regression Model;International Journal of Intelligent Systems;2024-05-11

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