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Crystal Prediction via Genetic Algorithms in a Model Chiral System
Nikolai D Petsev1, Arash Nikoubashman2, Folarin Latinwo1,3
1Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States.
The Journal of Physical Chemistry. B
|September 26, 2022
Summary
Researchers used genetic algorithms to predict chiral crystal structures, aiding in understanding biological homochirality and advancing drug discovery. This work clarifies the stability and structures of conglomerate and racemic crystals.
Area of Science:
- Crystallography
- Chemical Physics
- Computational Chemistry
Background:
- Chiral crystals are vital for understanding biological homochirality and for drug discovery, design, and stability.
- Predicting stable chiral crystal structures is essential for technologies like separation processes and polymorph control.
- Challenges in prediction arise from complex many-body interactions and molecular handedness.
Purpose of the Study:
- To apply genetic algorithms for predicting ground-state crystal lattices of a chiral tetramer molecular model.
- To investigate the relative stability and structures of conglomerate and racemic crystals.
- To present a structural phase diagram for stable Bravais crystal types at zero temperature.
Main Methods:
- Utilized genetic algorithms to model and predict crystal lattice structures.
- Analyzed the behavior of a chiral tetramer molecular model.
- Explored stability and structural properties of different crystal types.
Main Results:
- Successfully predicted ground-state crystal lattices for the chiral tetramer model.
- Determined the relative stability and structures of conglomerate and racemic crystals.
- Generated a structural phase diagram for stable Bravais crystal types.
Conclusions:
- Genetic algorithms provide a robust method for predicting chiral crystal structures.
- The study enhances understanding of crystal formation and stability for chiral molecules.
- Findings contribute to advancements in drug discovery and materials science.
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