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Machine-learned interatomic potentials for alloys and alloy phase diagrams

Chemistry

Machine-learned interatomic potentials for alloys and alloy phase diagrams

C. W. Rosenbrock, K. Gubaev, et al.

This groundbreaking research by Conrad W. Rosenbrock and team unveils innovative machine-learned potentials for Ag-Pd alloys, demonstrating the superiority of SOAP-GAP in transferability compared to MTP, while also achieving remarkable accuracy comparable to traditional cluster expansion methods. Discover how these advancements can revolutionize materials modeling for alloys!... show more
Citation Metrics
Citations
5
Influential Citations
0
Reference Count
85
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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