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Thermodynamics and structural properties of CaO: A molecular dynamics simulation study
Cecilia M S Alvares1, Guillaume Deffrennes1, Alexander Pisch1
1Univ. Grenoble Alpes, CNRS, Grenoble INP, SIMaP, F-38000 Grenoble, France.
This study accurately models calcium oxide (CaO) in solid and liquid states using molecular dynamics simulations. It determines key thermodynamic properties like melting temperature and enthalpy of fusion, crucial for high-temperature applications.
Area of Science:
- Materials Science
- Computational Chemistry
- Thermodynamics
Background:
- Calcium oxide (CaO) is a vital material with applications in refractories, cement, and advanced ceramics.
- Accurate thermodynamic data for CaO, especially at high temperatures, is essential for industrial processes but challenging to obtain experimentally.
Purpose of the Study:
- To perform a detailed theoretical investigation of calcium oxide (CaO) in both solid and liquid phases.
- To determine the melting temperature and enthalpy of fusion for CaO.
- To establish a reliable theoretical basis for calculating CaO thermodynamic properties in experimentally inaccessible temperature ranges.
Main Methods:
- Employed a combination of classical and ab initio molecular dynamics simulations.
- Utilized an empirical Born-Mayer-Huggins potential for modeling CaO interactions.
- Validated simulation results against experimental data and density functional theory (DFT) calculations.
Main Results:
- The Born-Mayer-Huggins potential accurately represents CaO in solid and liquid states.
- Successfully determined the melting temperature and enthalpy of fusion for CaO.
- Achieved consistency between predicted thermodynamic properties and existing experimental and database values.
Conclusions:
- The employed simulation methodology provides a robust and accurate approach for studying CaO thermodynamics.
- The theoretical results offer a new, reliable basis for thermodynamic property calculations of CaO.
- This study enhances understanding of CaO behavior at extreme temperatures, bridging experimental limitations.
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