Abstract:
:One way of expediting materials development is to decrease the need for new experiments by making greater use of published literature. Here, we use data mining and automated image analysis to gather new insights on nanoporous gold (NPG) without conducting additional experiments or simulations. NPG is a three-dimensional porous network that has found applications in catalysis, sensing, and actuation. We assemble and analyze published images from among thousands of publications on NPG. These images allow us to infer a quantitative description of NPG coarsening as a function of time and temperature, including the coarsening exponent and activation energy. They also demonstrate that relative density and ligament size in NPG are not correlated, indicating that these microstructure features are independently tunable. Our investigation leads us to propose improved reporting guidelines that will enhance the utility of future publications in the field of dealloyed materials.
journal_name
Sci Repjournal_title
Scientific reportsauthors
McCue I,Stuckner J,Murayama M,Demkowicz MJdoi
10.1038/s41598-018-25122-3subject
Has Abstractpub_date
2018-04-30 00:00:00pages
6761issue
1issn
2045-2322pii
10.1038/s41598-018-25122-3journal_volume
8pub_type
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