A data ecosystem to support machine learning in materials science
A data ecosystem to support machine learning in materials science
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DOI：
10.1557/mrc.2019.118
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发表时间：
2019-12-01
影响因子：
1.9
通讯作者：
Foster, Ian
中科院分区：
文献类型：
--
作者：
Blaiszik, Ben;Ward, Logan;Foster, Ian
促进机器学习（ML）在材料科学问题中的应用需要增强数据生态系统，以实现从多个来源发现和收集数据，在整个生态系统中自动传播新数据，以及将数据与特定材料的ML模型连接起来。在这里，我们提出了两个项目，材料数据设施（Material Data Facility）和科学数据和学习中心（Data and Learning Hub for Science，DLHub），以满足这些需求。我们使用示例来展示如何利用XML和DLHub功能将数据与ML模型链接起来，以及用户如何通过Web和编程接口访问这些功能。
Facilitating the application of machine learning (ML) to materials science problems requires enhancing the data ecosystem to enable discovery and collection of data from many sources, automated dissemination of new data across the ecosystem, and the connecting of data with materials-specific ML models. Here, we present two projects, the Materials Data Facility (MDF) and the Data and Learning Hub for Science (DLHub), that address these needs. We use examples to show how MDF and DLHub capabilities can be leveraged to link data with ML models and how users can access those capabilities through web and programmatic interfaces.