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Published on: October 31, 2019
Surface induced crystallization/amorphization of phase change materials
Mahdi Javanbakht1, Sajjad Mohebbi1, Hamed Attariani2
1Department of Mechanical Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran.
This study models surface-induced phase changes in Germanium-antimony-tellurium nanolayers using a phase field model. A key finding is that an external surface layer (ESL) affects crystallization and amorphization, with a specific width range optimizing these processes.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Materials Science
Background:
- Phase transformations in nanolayers are critical for materials applications.
- Surface effects significantly influence material properties at the nanoscale.
- Understanding crystallization and amorphization dynamics is key for device performance.
Purpose of the Study:
- To investigate surface-induced crystallization and amorphization in Germanium-antimony-tellurium (Ge2Sb2Te5) nanolayers.
- To model the effect of an external surface layer (ESL) on phase transformation kinetics.
- To determine an optimal ESL width for controlling surface-induced phase changes.
Main Methods:
- Utilized a phase field model incorporating Ginzburg-Landau (GL) equations.
- Introduced an external surface layer (ESL) with distributed surface energy and elastic properties.
- Solved coupled GL and elasticity equations to simulate crystallization and amorphization.
Main Results:
- The ESL width significantly impacts crystallization, with optimal growth observed for widths ≤ 1 nm.
- ESL accelerates surface nucleus growth but does not alter bulk crystallization rates.
- Amorphization temperature decreases with ESL presence, stabilizing for widths ≥ 0.5 nm.
- A linear relationship (Δsat/Δη ≅ 6.235Δγ/γin) was established for predicting ESL effects.
Conclusions:
- An external surface layer (ESL) plays a crucial role in surface-induced phase transformations of Ge2Sb2Te5 nanolayers.
- The optimal ESL width for controlling these transformations is determined to be between 0.5 nm and 1 nm.
- The derived linear relationship provides a predictive tool for estimating ESL effects in various surface-induced transformations.
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