A thermodynamic model of the Cs-Pb system

Journal Article (2026)
Author(s)

Rania Zaier (CNRS - Guyancourt)

Andries van Hattem (TU Delft - Applied Sciences)

Brandon N. de Waal (Student TU Delft)

Rudy J.M. Konings (TU Delft - Applied Sciences)

Anna L. Smith (TU Delft - Applied Sciences)

Philippe Zeller (CNRS - Guyancourt)

Christine Guéneau (CNRS - Guyancourt)

Research Group
RST/Reactor Physics and Nuclear Materials
DOI related publication
https://doi.org/10.1016/j.calphad.2026.102941 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
RST/Reactor Physics and Nuclear Materials
Journal title
Calphad: Computer Coupling of Phase Diagrams and Thermochemistry
Volume number
93
Article number
102941
Downloads counter
29
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Abstract

A comprehensive thermodynamic assessment of the Cs-Pb system was performed with the CALPHAD method using the experimental thermodynamic and phase diagram data available in literature supplemented by density functional theory (DFT) calculations. The exact nature of the stable compounds in the phase diagrams reported in the literature is uncertain, except for CsPb and Cs4Pb9 whose crystalline structures are well known. Therefore, DFT calculations were performed to calculate the energy of formation at 0 K of different possible compounds with various crystalline structures. The enthalpies of formation of the compounds CsPb, Cs4Pb9, and CsPb4, found to be the stable ones by DFT, were then used in the CALPHAD model. The result of this process has enabled the development of a more refined phase diagram comparing to experimental ones, providing more comprehensive insights into the phase equilibria in this system. Moreover, the CALPHAD model succeeded in describing the peculiar behavior of the heat capacity of the liquid phase, by using an ionic two-sublattice model (Cs+1)P(Pb−1,Va,Pb)Q which takes into account the short-range ordering taking place at the equimolar composition CsPb, related to the formation of clusters Cs4Pb4, modelled as (Cs+1) (Pb−1). The model allows for the prediction of important thermodynamic properties, which are of interest for a range of applications, including lead-cooled fast reactors and perovskite-based photovoltaics.

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