Generation of crystal structures using known crystal structures as analogues.

Area of Science:

• Crystallography
• Materials Science
• Computational Chemistry

Background:

• Understanding molecular crystallization is crucial for materials design.
• Predicting crystal structures (polymorphism) remains a significant challenge in chemistry.
• The relationship between molecular similarity and crystal packing is not fully understood.

Purpose of the Study:

• To investigate if similar molecules exhibit similar crystal packing arrangements.
• To explore the utility of shape and packing similarity for predicting crystal structures.
• To develop a method for generating potential crystal lattices for novel compounds.

Main Methods:

• Analysis of existing crystal structures in the Cambridge Structural Database.
• Quantification of molecular shape similarity.
• Assessment of crystal packing similarity.
• Generation and minimization of potential crystal lattices using intermolecular potentials.

Main Results:

• A positive correlation was observed between molecular similarity and packing similarity for single-component systems.
• The approach successfully generated plausible crystal lattice candidates for molecules lacking known structures.
• The effectiveness is dependent on clear definitions of 'similarity' for both molecules and their packing.

Conclusions:

• Molecular shape and packing similarity are valuable indicators for predicting crystal structures.
• This method offers a promising route for exploring the crystal space of new chemical entities.
• Further refinement is needed to address the limitations and enhance the predictive power.