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Updated: Jun 22, 2026

Optimization of Crystal Growth for Neutron Macromolecular Crystallography
Published on: March 13, 2021
Derivation of the phase-field-crystal model for colloidal solidification
Sven van Teeffelen1, Rainer Backofen, Axel Voigt
1Institut für Theoretische Physik II, Weiche Materie, Heinrich-Heine-Universität Düsseldorf, D-40225 Düsseldorf, Germany. teeffelen@thphy.uni-duesseldorf.de
The phase-field-crystal (PFC) model accurately predicts colloidal crystal nucleation and growth. This study derives PFC dynamics from the Smoluchowski equation, validating its use in colloidal solidification.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Statistical Mechanics
Background:
- The phase-field-crystal (PFC) model is a powerful tool for simulating crystal nucleation and growth.
- Understanding colloidal solidification dynamics is crucial for materials engineering.
Purpose of the Study:
- To derive phase-field-crystal (PFC) model dynamics from the microscopic Smoluchowski equation using dynamical density-functional theory (DDFT).
- To propose and validate a less approximate variant of the PFC model for colloidal systems.
- To compare PFC model predictions with DDFT for colloidal crystal growth undercooling.
Main Methods:
- Derivation of PFC dynamics from the Smoluchowski equation via DDFT.
- Development of a novel, less approximate PFC model variant.
- Numerical simulations comparing PFC models and DDFT for a 2D colloidal suspension of dipoles.
Main Results:
- PFC dynamics can be rigorously derived from the Smoluchowski equation for overdamped colloidal systems.
- A new PFC model variant with fewer approximations is proposed.
- Good agreement between PFC models and DDFT requires significant free energy scaling to match the bulk freezing point.
Conclusions:
- The study provides a theoretical foundation for using PFC models in colloidal solidification.
- The findings highlight the importance of accurate free energy descriptions in PFC models for quantitative predictions.
- The validated PFC models offer a computationally efficient approach for studying crystal growth in colloidal suspensions.
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