Facile and Accurate Calculation of the Density of Amino Acid Salt Solutions: A Simple and General Correlation vs Artificial Neural Networks-Reference-Cited by-同舟云学术

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Facile and Accurate Calculation of the Density of Amino Acid Salt Solutions: A Simple and General Correlation vs Artificial Neural Networks

Published:2022-07-11 Issue:14 Volume:36 Page:7661-7675
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Mehrabi Khayyam¹,Bakhtyari Ali¹²^ORCID,Mofarahi Masoud²³^ORCID,Lee Chang-Ha³^ORCID

Affiliation:

1. Department of Chemical Engineering, Shiraz University, Shiraz 71348-51154, Iran

2. Department of Chemical Engineering, Faculty of Petroleum, Gas, and Petrochemical Engineering, Persian Gulf University, Bushehr 75169, Iran

3. Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea

Funder

Persian Gulf University

National Research Foundation of Korea

Yonsei University

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.2c01705

Reference75 articles.

1. Effects of operating parameters of packed columns on the K G a v for CO 2 absorption by amine solutions using optimization–simulation framework

2. Thermodynamic modelling of CO2 absorption into aqueous solutions of 2-diethylaminoethanol, piperazine, and blended diethylaminoethanol with piperazine

3. CO2 adsorption by conventional and nanosized zeolites

4. Industrial wastes derived solid adsorbents for CO2 capture: A mini review

5. Amine versus ammonia absorption of CO2 as a measure of reducing GHG emission: a critical analysis

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1. Kinetics of CO2 absorption in N-Methyldiethanolamine solution promoted by potassium sarcosine;Journal of Cleaner Production;2023-12

2. Generalized viscosity model based on free-volume theory for amino acid salt solutions as green CO2 capture solvents;Journal of Molecular Liquids;2023-08

3. Application of machine learning techniques to the modeling of solubility of sugar alcohols in ionic liquids;Scientific Reports;2023-07-27

4. Facile estimation of viscosity of natural amino acid salt solutions: Empirical models vs artificial intelligence;Results in Engineering;2023-06

5. A critical review on machine-learning-assisted screening and design of effective sorbents for carbon dioxide (CO2) capture;Frontiers in Energy Research;2023-01-06

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