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Updated: Sep 2, 2025

Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis
Published on: May 10, 2021
Including state-of-the-art physical understanding of thermal vacancies in Calphad models
A Obaied1,2, I Roslyakova3, M To Baben4
1ICAMS, Ruhr-University Bochum, Universitaetstr. 150, 44801, Bochum, Germany. abdulmonem.obaied@rub.de.
This study introduces a new thermochemical model that accurately includes thermal vacancies in materials. This model enhances thermodynamic databases and improves phase stability predictions for alloys.
Area of Science:
- Materials Science
- Computational Materials Science
- Thermodynamics
Background:
- Accurate thermodynamic modeling is crucial for predicting material behavior.
- Existing models often do not explicitly account for thermal vacancies.
- This limitation affects the accuracy of phase stability predictions, especially at higher temperatures.
Purpose of the Study:
- To present a physically sound thermochemical model incorporating explicit thermal vacancies.
- To extend the capabilities of the Calphad (Calculation of Phase Diagrams) formalism.
- To improve thermodynamic databases for elements and alloys.
Main Methods:
- Developed a model based on ab initio calculations for enthalpy of vacancy formation.
- Incorporated two parameters for excess heat capacity of vacancy formation.
- Validated the model using elements like Ag, Al, Cu, Zn, Ni, Ti, W and the Cu-Zn binary system.
Main Results:
- Achieved excellent agreement with experimental temperature-dependent vacancy concentrations and heat capacities.
- Ensured reasonable extrapolation of phase stability to high temperatures.
- Resolved the Neumann-Kopp related issue in multicomponent systems within the Calphad community.
Conclusions:
- The new model provides a robust framework for including thermal vacancies in thermodynamic databases.
- It enhances the predictive power of phase stability for alloys.
- This advancement is significant for computational materials science and alloy design.
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