Automated searching and identification of self-organized nanostructures
Currently, researchers spend significant time manually searching through large volumes of data produced during scanning probe imaging to identify specific patterns and motifs formed via self-assembly and self-organisation. Here, we use a combination of Monte Carlo simulations, general statistics and...
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| Main Authors: | , , , , |
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| Format: | Default Article |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/12948392.v1 |
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