A deep convolutional neural network for real-time full profile analysis of big powder diffraction data
Abstract We present Parameter Quantification Network (PQ-Net), a regression deep convolutional neural network providing quantitative analysis of powder X-ray diffraction patterns from multi-phase systems. The network is tested against simulated and experimental datasets of increasing complexity with...
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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/7adac6f0b28a45c1aa8cd163d3fb007b |
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