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Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

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Computer simulation study of surface wave dynamics at the crystal-melt interface.

Jorge Benet¹, Luis G MacDowell¹, Eduardo Sanz¹

¹Departamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain.

The Journal of Chemical Physics

|July 24, 2014

Summary

This summary is machine-generated.

Computer simulations reveal distinct time scales governing crystal-melt interface dynamics. Surface wave relaxation is influenced by capillary forces and microscopic processes, with water exhibiting slower dynamics due to molecular orientation.

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Area of Science:

Condensed Matter Physics
Materials Science
Computational Chemistry

Background:

The crystal-melt interface is crucial for phase transitions and material properties.
Understanding surface dynamics is key to controlling crystallization and melting processes.

Purpose of the Study:

To investigate the dynamics of surface waves at the crystal-melt interface.
To identify and characterize the different time scales involved in interface relaxation.
To compare the interface dynamics of hard spheres, Lennard-Jones systems, and TIP4P/2005 water.

Main Methods:

Molecular dynamics simulations were employed to model the crystal-melt interface.
Analysis focused on the relaxation dynamics of surface waves across different systems.
Capillary wave theory was used to interpret the simulation results.

Main Results:

Two distinct time scales were observed for surface wave relaxation: a slow, capillary-force-driven process and a fast process involving particle dynamics.
Slow relaxation becomes dominant for longer wavelengths and is independent of microscopic details.
Water's crystal-melt interface exhibits significantly slower relaxation compared to simpler models due to orientational degrees of freedom.

Conclusions:

The study provides insights into the fundamental mechanisms governing crystal-melt interface dynamics.
Distinct time scales and the influence of molecular structure (e.g., water) are critical factors.
The findings contribute to estimating crystal growth rates and validating simulation models against experimental data.