Reusing FAIR data from a prior active learning campaign reduced the cost of a new alloy melting-temperature search by roughly ten times.
From raw data to fair data: the fairification workflow for health research
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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.