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Modelling the lattice dynamics in Si(x)Ge(1-x) alloys
Ankita Katre1, Ralf Drautz, Georg K H Madsen
1ICAMS, Ruhr-Universität Bochum, D-44780 Bochum, Germany.
A simplified second nearest neighbour model accurately simulates thermal properties of silicon-germanium alloys. This approach, using density functional theory parameters, offers reliable predictions for random alloys.
Area of Science:
- Materials Science
- Computational Physics
- Solid-State Chemistry
Background:
- Accurate simulation of thermodynamic and thermal transport properties in random alloys is crucial.
- Simplified models are needed to efficiently predict alloy behavior.
Purpose of the Study:
- To develop and validate a simplified second nearest neighbour model for Si(x)Ge(1-x) alloys.
- To assess the model's ability to capture lattice dynamics and thermal properties.
Main Methods:
- Utilized density functional theory (DFT) to calculate force constant matrices for pure Si, pure Ge, and Si0.5Ge0.5.
- Extracted nearest neighbour contributions directly from DFT.
- Obtained effective interactions for second nearest neighbour contributions.
Main Results:
- The simplified second nearest neighbour model reliably captures the lattice dynamics of Si(x)Ge(1-x) alloys.
- Thermal properties, including the expansion coefficient, were accurately reproduced.
- The model demonstrated transferability to random Si(x)Ge(1-x) alloys.
Conclusions:
- A simple second nearest neighbour model is effective for simulating thermal properties of Si(x)Ge(1-x) alloys.
- The model's parameters derived from DFT ensure reliable predictions.
- This approach provides a computationally efficient method for studying random alloys.
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