Thermodynamic Modeling of R2O–V2O5 Systems (R = Li, Na, K, Rb, and Cs) With Key Experimental Study and Its Applications

Guishang Pei , In-Ho Jung , Xuewei Lv

Materials Genome Engineering Advances ›› 2026, Vol. 4 ›› Issue (1) : e70054

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Materials Genome Engineering Advances ›› 2026, Vol. 4 ›› Issue (1) :e70054 DOI: 10.1002/mgea.70054
RESEARCH ARTICLE
Thermodynamic Modeling of R2O–V2O5 Systems (R = Li, Na, K, Rb, and Cs) With Key Experimental Study and Its Applications
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Abstract

Key phase diagram studies of Li2O–V2O5, K2O–V2O5, and Rb2O–V2O5 systems were conducted using X-ray diffraction and differential thermal analysis within Pt crucibles. The XRD results confirmed the existence of stoichiometric phase Li4V34O87 in the Li2O–V2O5 system. In the K2O–V2O5 system, the melting temperatures of K2V8O21 and KVO3 were experimentally determined to be 532.4°C and 516.5°C, respectively. The eutectic reaction between liquid, Rb3V5O14, and RbVO3 in the Rb2O–V2O5 system was identified at 496°C with a composition of 42 mol% Rb2O. The modified quasichemical model (MQM), which accounts for the short-range ordering of the second-nearest neighbors of cations in molten oxide solutions, was employed to describe the liquid phase, and compound energy formalism (CEF) was applied to model the Li1+XV3O8 solid solution at elevated temperatures. Thermodynamic modeling of the R2O–V2O5 (R = Li, Na, K, Rb, and Cs) systems was developed using the CALculation of PHAse Diagrams (CALPHAD) methodology. The experimental data across the entire composition range of the R2O–V2O5 systems were successfully reproduced, and thermodynamic properties for all solid and liquid phases within all binary systems were obtained. The developed thermodynamic database was further applied to simulate vanadium extraction processes, with the optimal operation windows.

Keywords

CALPHAD / phase diagram / R2O–V2O5 systems / thermodynamic optimization

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Guishang Pei, In-Ho Jung, Xuewei Lv. Thermodynamic Modeling of R2O–V2O5 Systems (R = Li, Na, K, Rb, and Cs) With Key Experimental Study and Its Applications. Materials Genome Engineering Advances, 2026, 4 (1) : e70054 DOI:10.1002/mgea.70054

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