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Shared metadata for data-centric materials science
Article describes how the expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. The authors mainly focus on computational materials-science data and propose a constructive approach for the FAIRification of the (meta)data related to ground-state and excited-states calculations, potential-energy sampling, and generalized workflows.
Date:
September 14, 2023
Creator:
Ghiringhelli, Luca M.; Baldauf, Carsten; Bereau, Tristan; Brockhauser, Sandor; Carbogno, Chistian; Chamanara, Javad et al.
System:
The UNT Digital Library