Accelerating the design of compositionally complex materials via physics-informed artificial intelligence.
basic_science · Level V
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- Record sourced from PubMed, PMID 38177883.
- Also identified by DOI 10.1038/s43588-023-00412-7.
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Abstract
The chemical space for designing materials is practically infinite. This makes disruptive progress by traditional physics-based modeling alone challenging. Yet, training data for identifying composition-structure-property relations by artificial intelligence are sparse. We discuss opportunities to discover new chemically complex materials by hybrid methods where physics laws are combined with artificial intelligence.