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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Language:EN
Published: Nature Portfolio 2021
Subjects:
Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
Online Access:https://doaj.org/article/7adac6f0b28a45c1aa8cd163d3fb007b
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/7adac6f0b28a45c1aa8cd163d3fb007b

Similar Items