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Updated: Jun 8, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Surface pattern formation and scaling described by conserved lattice gases
Géza Odor1, Bartosz Liedke, Karl-Heinz Heinig
1Research Institute for Technical Physics and Materials Science, P.O. Box 49, H-1525 Budapest, Hungary.
We developed a new model for surface diffusion, showing how it competes with growth processes. This reveals new insights into pattern formation and scaling behaviors in materials science.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Surface Science
- Computational Physics
Background:
- Surface diffusion is crucial for understanding crystal growth and material properties.
- Existing models often simplify complex surface dynamics.
- The interplay between diffusion and deposition processes dictates surface morphology.
Purpose of the Study:
- To extend a discrete growth model with conserved, local exchange dynamics for surface diffusion.
- To investigate the competition between surface diffusion and deposition processes.
- To analyze pattern formation and scaling laws in nonequilibrium growth systems.
Main Methods:
- Extension of a 2+1-dimensional discrete growth model incorporating octahedra exchange dynamics.
- Mapping surface slopes to particles, creating a 2D nonequilibrium binary lattice model.
- Numerical simulations on large scales to analyze surface width scaling and pattern evolution.
Main Results:
- Demonstrated Mullins-Herring or molecular-beam epitaxy class scaling for surface width.
- Observed pattern formation (dots or ripples) from the competition between diffusion and deposition (Kardar-Parisi-Zhang process).
- Confirmed the stability of Kardar-Parisi-Zhang scaling against surface diffusion and identified logarithmic growth for strong diffusion.
Conclusions:
- The extended model accurately describes surface diffusion and its impact on growth dynamics.
- The competition between surface diffusion and deposition leads to diverse morphological patterns.
- Kardar-Parisi-Zhang scaling is robust, and strong diffusion leads to logarithmic growth, consistent with mean-field behavior.
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