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Morphological possibilities in general crystallography. Snow crystals.
1Institute for Theoretical Physics, University of Nijmegen, Toernooiveld, 6525 ED Nijmegen, The Netherlands. alo@sci.kun.nl
Summary
This study analyzes snow crystal morphology using crystallography, revealing macroscopic growth lattices and continuous boundaries. These findings connect to integral transformations and generalize rational indices for crystal growth patterns.
Area of Science:
- Crystallography
- Materials Science
- Physics
Background:
- Snow crystal morphology is complex and not fully explained by traditional crystallographic models.
- Understanding crystal growth patterns is crucial for various scientific disciplines.
Purpose of the Study:
- To analyze snow crystal morphology using general crystallography concepts.
- To establish a framework for understanding macroscopic growth lattices and continuous growth boundaries.
- To connect these features with mathematical transformations and generalize existing crystallographic laws.
Main Methods:
- Application of general crystallography principles, including point groups of infinite order.
- Formulation of observational rules to define macroscopic growth lattices and continuous growth boundaries.
- Utilizing two-dimensional integral invertible transformations to model crystal growth.
- Analysis of boundary families using selection rules and generalization of the law of rational indices.
Main Results:
- Development of a rule-based system for macroscopic snow crystal growth.
- Demonstration of connections between growth lattices, continuous boundaries, and integral transformations.
- Generalization of the law of rational indices for crystal growth.
- Graphical representation and tabular summarization of geometric and arithmetic properties for 12 natural snow crystals.
Conclusions:
- The study provides a novel crystallographic framework for understanding snow crystal morphology.
- The findings offer a more comprehensive model for crystal growth, integrating mathematical transformations.
- The generalized law of rational indices enhances predictive capabilities for crystal habit.