Predicting polymeric crystal structures by evolutionary algorithms

Area of Science:

• Materials Science
• Computational Chemistry
• Polymer Science

Background:

• Predicting polymer crystal structures is crucial for materials design.
• Existing methods face challenges with the complexity of polymer structures.

Purpose of the Study:

• To extend the evolutionary algorithm USPEX for polymer structure prediction.
• To develop a constrained evolutionary search method for polymers.

Main Methods:

• Treating monomeric units as building blocks with fixed connectivity.
• Constrained evolutionary search to reduce the search space.
• Validating the method on diverse experimentally known polymers.

Main Results:

• Successfully predicted crystal structures for polyethylene, polyacetylene, and others.
• Demonstrated applicability to complex linear polymers like PVDF and nylon-6.
• Achieved excellent agreement between predicted and experimental structures.

Conclusions:

• The constrained evolutionary algorithm is a reliable tool for polymer structure prediction.
• This approach facilitates efficient design of novel polymeric materials.
• The method holds significant promise for future materials discovery.