The Materials Experiment Knowledge Graph
收藏CaltechDATA2023-03-20 更新2026-04-16 收录
下载链接：
https://data.caltech.edu/doi/10.22002/h88fq-dk449
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资源简介：
A Neo4j dump of the Materials Experiment Knowledge Graph (MEKG), a graph database containing metadata and experimental provenance from synthesis to measurement of primarily metal oxide solid state materials resulting from high throughput experimentation. The MEKG is a practical graph restructuring of the Materials Provenance Store, designed for greater querying efficiency through explicit entity relationships which would otherwise require slow table joins in the SQL paradigm. The higher search efficiency of long paths (equivalently multi-table joins) comes at the cost of slower aggregation operations.
提供机构：
Modelyst LLC; Toyota Research Institute; California Institute of Technology
创建时间：
2023-03-20
