Figure1

Machine learning assisted crystal structure prediction made simple

Figure 1. ML-driven materials design. First, researchers use ML-based CSP methods to explore low-energy structures of target compositions in a short time. Then, the low-energy structures can be added to databases or used in quantum mechanical calculations. Finally, the potential candidates can be synthesized in experiment. ML: Machine learning; CSP: crystal structure prediction.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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