A deep convolutional neural network for real-time full profile analysis of big powder diffraction data

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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Détails bibliographiques
Auteurs principaux: Hongyang Dong, Keith T. Butler, Dorota Matras, Stephen W. T. Price, Yaroslav Odarchenko, Rahul Khatry, Andrew Thompson, Vesna Middelkoop, Simon D. M. Jacques, Andrew M. Beale, Antonis Vamvakeros
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
Accès en ligne:https://doaj.org/article/7adac6f0b28a45c1aa8cd163d3fb007b
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https://doaj.org/article/7adac6f0b28a45c1aa8cd163d3fb007b

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