2016/12/15 by Frisco Rose, Rose, Frisco, Cormac Toher +11 · 1 citation
Decision Sciences · Materials Science · Physics and Astronomy · #Catalytic Processes in Materials Science #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Scientific Computing and Data Management #cond-mat.mtrl-sci
paper · pdf · doi:10.48550/arxiv.1612.05130
13 pages, 3 figures, 4 tables
arxiv created 2016/12/15 · openalex publication_date 2016/12/15 · arxiv updated 2016/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented AFLOW-repository API (Application-Program-Interface, as described in Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A URI-based search API (Uniform Resource Identifier) is proposed for the construction of complex queries with the intent of allowing the remote creation and retrieval of customized data sets. It is expected that the new language AFLUX, acronym for Automatic Flow of LUX (light), will facilitate the creation of remote search operations on the AFLOW.org set of computational materials science data repositories.