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.
Highlights
Materials research and development is often frustratingly slow due to the time and resources needed to conduct new experiments[1]
Since most widely used search engines do not have the capability to sort publications according to the type of data they contain, we confine our work to manuscripts citing the seminal paper on dealloyed nanoporous gold (NPG) by Erlebacher et al.[11]
We demonstrated that mining and analysis of published images is an effective way to gain new insight into processing-structure-property relations in materials
Summary
Materials research and development is often frustratingly slow due to the time and resources needed to conduct new experiments[1]. Our method relies on novel image-analysis software, developed and discussed in a previous publication[9], to extract microstructure characteristics – such as NPG ligament and pore dimensions – in a consistent and reproducible manner. Combining this information with reported processing histories, we obtain a quantitative numerical description of NPG coarsening as a function of time and temperature. Relative density is found not to correlate with other physical characteristics of NPG, such as ligament diameter, parent alloy composition, or processing conditions such as dealloying time or temperature. We propose new publication guidelines that will facilitate the discovery of such unanticipated, hidden parameters from data mining studies on future publications in the field of dealloyed materials
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