A new computational method predicts stable crystal structures from chemical compositions
In short: Researchers have developed a method to predict the stable and metastable structures of crystals starting from scratch. By using a particle-swarm optimization algorithm, the team can determine how atoms arrange themselves in various chemical compounds, such as metallic, ionic, and covalent systems, based only on their chemical composition and external conditions like pressure.
The method works by minimizing free-energy surfaces through a global search that avoids traditional evolutionary operators like mutation. To improve efficiency, the researchers implemented symmetry constraints and a variable unit-cell size technique to reduce the search space. While the study successfully predicted many known systems, it is a computational model rather than a physical experiment.
Why it matters: This computational approach simplifies the discovery of new materials by predicting their physical structures from basic chemical data.
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Sources
- Summary by Intellect · source: Research: Wang et al. (2010). Crystal structure prediction via particle-swarm optimization. Physical Review B.
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