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Updated: Apr 26, 2026

The Frequency Domain Thermoreflectance Technique for Thermal Property Measurements
Published on: December 5, 2025
Reliability evaluation of thermophysical properties from first-principles calculations
Mauro Palumbo1, Suzana G Fries, Andrea Dal Corso
1ICAMS, Ruhr University Bochum, Universitátsstr. 150, D-44801 Bochum, Germany.
Computational methods now provide temperature-dependent thermophysical data. This study compares different first-principles approaches, finding that computational methods can reliably predict properties like heat capacity, bulk modulus, and thermal expansion.
Area of Science:
- Materials Science
- Computational Physics
- Thermodynamics
Background:
- Thermophysical properties (heat capacity, bulk modulus, thermal expansion) are crucial for technological applications.
- Traditionally, these properties are determined experimentally, which can be time-consuming and costly.
- Advancements in computational methods offer an alternative for obtaining temperature-dependent data.
Purpose of the Study:
- To evaluate the accuracy and reliability of various first-principles computational methods for predicting temperature-dependent thermophysical properties.
- To compare the impact of different computational codes, pseudopotentials, and phonon determination methods on the accuracy of these properties.
- To assess the consequences for the use of first-principles data in computational thermodynamics.
Main Methods:
- Utilized first-principles calculations using QUANTUM ESPRESSO and VASP codes.
- Employed ultrasoft and projector augmented wave pseudopotentials.
- Applied linear response and direct force constant methods for phonon calculations.
Main Results:
- Analysis of thermophysical properties for Chromium (Cr) and Nickel (Ni) was performed.
- Comparison of computed data against experimental scatter was conducted.
- The study identified the influence of different computational parameters on property prediction.
Conclusions:
- First-principles computational methods can provide reliable temperature-dependent thermophysical data.
- The choice of computational codes, pseudopotentials, and phonon methods significantly impacts the accuracy of predicted properties.
- Understanding these influences is critical for the reliable application of computational thermodynamics.
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