2022
DOI: 10.1021/acs.jpcc.2c00747
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Modeling Metallic Halide Local Structures in Salt Melts Using a Genetic Algorithm

Abstract: Knowing the local structure of metal ions in molten salt melts is essential for understanding the chemistry related to corrosion and solvation processes for various applications such as molten salt reactors, solar thermal power systems, and molten salt-enabled materials processing. However, modeling the dynamic local structure of metals in salt melts is difficult because classical mechanics does not reproduce the correct local atomic networking. The computational cost of carrying out multiple first-principles … Show more

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“…Insights generated for solids are also useful for interpreting the Raman spectra of the melt. [32] Dracopoulos and Papatheodorou have demonstrated in multiple studies that the most intense bands in the Raman spectra of the solid phase often remain intense in the molten state, albeit with shifts in wavenumbers and broadening. [17,33,34] Thus, our findings from this study can be valuable for interpreting Raman spectra of the melt.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Insights generated for solids are also useful for interpreting the Raman spectra of the melt. [32] Dracopoulos and Papatheodorou have demonstrated in multiple studies that the most intense bands in the Raman spectra of the solid phase often remain intense in the molten state, albeit with shifts in wavenumbers and broadening. [17,33,34] Thus, our findings from this study can be valuable for interpreting Raman spectra of the melt.…”
Section: Introductionmentioning
confidence: 99%
“…Our study primarily focuses on predicting the phonon properties of these salts. Insights generated for solids are also useful for interpreting the Raman spectra of the melt [32] . Dracopoulos and Papatheodorou have demonstrated in multiple studies that the most intense bands in the Raman spectra of the solid phase often remain intense in the molten state, albeit with shifts in wavenumbers and broadening [17,33,34] .…”
Section: Introductionmentioning
confidence: 99%