工作流程
元数据
吞吐量
管道(软件)
计算机科学
实验数据
数据集
过程(计算)
数据库
数据科学
万维网
操作系统
无线
统计
数学
人工智能
作者
Kevin R. Talley,Robert White,Nick Wunder,Matthew Eash,Marcus Schwarting,Dave Evenson,John D. Perkins,William Tumas,Kristin Munch,Caleb Phillips,Andriy Zakutayev
出处
期刊:Patterns
[Elsevier BV]
日期:2021-11-11
卷期号:2 (12): 100373-100373
被引量:32
标识
DOI:10.1016/j.patter.2021.100373
摘要
The High-Throughput Experimental Materials Database (HTEM-DB, htem.nrel.gov) is a repository of inorganic thin-film materials data collected during combinatorial experiments at the National Renewable Energy Laboratory (NREL). This data asset is enabled by NREL's Research Data Infrastructure (RDI), a set of custom data tools that collect, process, and store experimental data and metadata. Here, we describe the experimental data flow from the RDI to the HTEM-DB to illustrate the strategies and best practices currently used for materials data at NREL. Integration of the data tools with experimental instruments establishes a data communication pipeline between experimental researchers and data scientists. This work motivates the creation of similar workflows at other institutions to aggregate valuable data and increase their usefulness for future machine learning studies. In turn, such data-driven studies can greatly accelerate the pace of discovery and design in the materials science domain.
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