A Two-Parameter Theoretical Model for Predicting the Activity and Osmotic Coefficients of Aqueous Electrolyte Solutions

Zhang, Congyu; Xing, Yubo; Tao, Dong

doi:10.1007/s10953-020-00987-z

Cited by 11 publications

(2 citation statements)

References 101 publications

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“…In general, the ReLU-type correction function will be required in case the ionic association becomes significantly accelerated at a higher concentration; for this condition to meet, the solvent's molar volume should be sufficiently larger than water, resulting in the extremely smaller mole fraction of the free solvent and hence the dramatically larger mean activity coefficient of ions at a higher concentration. Still, the fitting quality may be enhanced by considering the concentration dependency of the mean activity coefficient for the aqueous LiNO 3 solutions, 49 although the change may not be dramatic compared to nonaqueous solutions.…”

Section: Resultsmentioning

confidence: 99%

Modifying Kohlrausch’s Law to Describe Nonaqueous Electrolytes for Lithium-Ion Batteries

Srinivasa,

Lee,

Hyun

et al. 2023

ACS Appl. Mater. Interfaces

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Section: Resultsmentioning

confidence: 99%

Modifying Kohlrausch’s Law to Describe Nonaqueous Electrolytes for Lithium-Ion Batteries

Srinivasa,

Lee,

Hyun

et al. 2023

ACS Appl. Mater. Interfaces

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“…In high concentration electrolyte solution, the deviation of Pitzer equation is large and the adaptability is poor. Therefore, in order to solve this problem, an electrolyte molecular interaction volume model eMIVM [11] considering both short-range and long-range effects is proposed.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Thermodynamic Properties of Ni2+, Co2+, Cu2+ Electrolyte Solutions by eMIVM-ET

Zheng

et al. 2023

J Solution Chem

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In this work, the electrolyte molecular interaction volume model (eMIVM) and the optimized model (eMIVM-ET) were used to t the activity coe cients and osmotic coe cients of 47 heavy metal single electrolyte solutions containing Ni 2+ , Co 2+ and Cu 2+ , respectively, and the activity coe cients and osmotic coe cients of 10 heavy metal two electrolyte solutions containing Ni 2+ , Co 2+ and Cu 2+ were predicted. The results show that the average deviation and average relative error of these two models are: the activity coe cients of eMIVM are 0.0548 and 7.22%, the osmotic coe cients are 0.0307 and 5.06%, the activity coe cients of eMIVM-ET are 0.0326 and 3.78%, and the osmotic coe cients are 0.0276and 4.73%, respectively; For the average deviation and relative error predicted by these two models, the activity coe cients of eMIVM are 0.2331 and 41.64% respectively, the osmotic coe cients are 0.2590 and 21.1% respectively, the activity coe cients of eMIVM-ET are 0.1340 and 24.88% respectively, and the osmotic coe cients are 0.1139 and 9.11% respectively. The prediction effect of eMIVM-ET is better than that of eMIVM, so eMIVM-ET can be used as an alternative thermodynamic prediction model.

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Thermodynamic Modeling of Aqueous Electrolyte Solutions Using Nonelectrolyte UNIQUAC-NRF

Eghbal

Mazloumi

2023

J Solution Chem

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A Two-Parameter Theoretical Model for Predicting the Activity and Osmotic Coefficients of Aqueous Electrolyte Solutions

Cited by 11 publications

References 101 publications

Modifying Kohlrausch’s Law to Describe Nonaqueous Electrolytes for Lithium-Ion Batteries

Modifying Kohlrausch’s Law to Describe Nonaqueous Electrolytes for Lithium-Ion Batteries

Prediction of Thermodynamic Properties of Ni2+, Co2+, Cu2+ Electrolyte Solutions by eMIVM-ET

Thermodynamic Modeling of Aqueous Electrolyte Solutions Using Nonelectrolyte UNIQUAC-NRF

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