A deep-learning technique for phase identification in multiphase inorganic compounds using synthetic XRD powder patterns
Identifying the composition of multiphase inorganic compounds from XRD patterns is challenging. Here the authors use a convolutional neural network to identify phases in unknown multiphase mixed inorganic powder samples with an accuracy of nearly 90%.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-13749-3 |