Project Details
Description
In this work, we will adapt current machine learning (ML) and computer vision (CV) algorithms to develop a suite of scientifically-informed “image search” tools for electron microscopy data. These tools will be used as a means to draw connections between materials images from different sources based on actual quantitative content within the image, and as a mechanism for labelling existing images automatically, using relevant information culled from scientific literature.
| Status | Finished |
|---|---|
| Effective start/end date | 12/1/18 → 9/30/20 |
Funding
- UChicago Argonne, LLC, Argonne National Laboratory (8J-30009-0013A Rev. 0013D)
- Department of Energy (8J-30009-0013A Rev. 0013D)
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