
FAIR data and workflows can significantly accelerate materials discovery by enabling efficient reuse of prior knowledge and optimization of simulation parameters, as demonstrated by a 10x speedup in identifying alloys with optimal melting temperatures using active learning and molecular dynamics simulations.


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leveraging-fair-data-to-accelerate-the-discovery-of-alloys-with-optimal-melting-temperatures-using-active-learning-and-molecular-dynamics-simulations


Leveraging FAIR Data to Accelerate the Discovery of Alloys with Optimal Melting Temperatures Using Active Learning and Molecular Dynamics Simulations
