期刊
NATURE MATERIALS
卷 14, 期 10, 页码 973-980出版社
NATURE PORTFOLIO
DOI: 10.1038/NMAT4395
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资金
- Laboratory Directed Research and Development Program of Oak Ridge National Laboratory
- DOE Office of Science User Facility at ORNL [DE-AC05-00OR22725]
Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.
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