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Related Concept Videos

Crystal Growth: Principles of Crystallization01:25

Crystal Growth: Principles of Crystallization

Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent – the...

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Related Experiment Video

Updated: May 13, 2026

Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering
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Growing Protein Crystals with Distinct Dimensions Using Automated Crystallization Coupled with In Situ Dynamic Light Scattering

Published on: August 14, 2018

Controlling crystal self-assembly using a real-time feedback scheme.

Daphne Klotsa1, Robert L Jack

  • 1Department of Chemical Engineering, University of Michigan, 2300 Hayward St., Ann Arbor, Michigan 48109-2136, USA.

The Journal of Chemical Physics
|March 15, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new method to automatically tune particle interactions during self-assembly. This technique helps create high-quality crystals and avoid defects in model systems.

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Area of Science:

  • Physical Chemistry
  • Materials Science
  • Computational Physics

Background:

  • Self-assembly is crucial for creating ordered materials.
  • Controlling crystallization and avoiding kinetic traps remains a challenge.
  • Hard spheres with attractive potentials serve as a model for self-assembling systems.

Purpose of the Study:

  • To develop a generalizable method for tuning interaction parameters during self-assembly.
  • To obtain high-quality crystals by avoiding kinetic traps.
  • To demonstrate the applicability of the method across various self-assembling systems.

Main Methods:

  • Simulating the crystallization of hard spheres with short-ranged attractive potentials.
  • Utilizing measurements of correlation and response functions.
  • Implementing an automated tuning of interaction parameters during the assembly process.

Main Results:

  • Successfully obtained high-quality crystals.
  • Effectively avoided kinetic traps during the simulation.
  • Demonstrated the method's independence from specific interaction potentials and crystal structures.

Conclusions:

  • The developed method offers a robust approach to optimizing self-assembly processes.
  • This technique can be widely applied to diverse self-assembling systems.
  • Automated parameter tuning is key to achieving defect-free crystalline structures.