Hierarchical visualization of materials space with graph convolutional neural networks
The combination of high throughput computation and machine learning has led to a new paradigm in materials design by allowing for the direct screening of vast portions of structural, chemical, and property spaces. The use of these powerful techniques leads to the generation of enormous amounts of da...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing
2020
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| Online Access: | https://hdl.handle.net/1721.1/128848 |