Reusing FAIR data from a prior active learning campaign reduced the cost of a new alloy melting-temperature search by roughly ten times.
Commen- tary: The materials project: A materials genome approach to accelerating materials innovation
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Accelerating active learning materials discovery with FAIR data and workflows: a case study for alloy melting temperatures
Reusing FAIR data from a prior active learning campaign reduced the cost of a new alloy melting-temperature search by roughly ten times.