2019
DOI: 10.1107/s1600576719008665
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BraggNet: integrating Bragg peaks using neural networks

Abstract: Neutron crystallography offers enormous potential to complement structures from X-ray crystallography by clarifying the positions of low-Z elements, namely hydrogen. Macromolecular neutron crystallography, however, remains limited, in part owing to the challenge of integrating peak shapes from pulsed-source experiments. To advance existing software, this article demonstrates the use of machine learning to refine peak locations, predict peak shapes and yield more accurate integrated intensities when applied to … Show more

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Cited by 37 publications
(27 citation statements)
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“…Neutron data were integrated with MANTID 62 utilizing the three-dimensional profile fitting algorithm 63 . Integrated neutron data were scaled and wavelength-normalized using Lauenorm from the LAUGEN suite 64 .…”
Section: Methodsmentioning
confidence: 99%
“…Neutron data were integrated with MANTID 62 utilizing the three-dimensional profile fitting algorithm 63 . Integrated neutron data were scaled and wavelength-normalized using Lauenorm from the LAUGEN suite 64 .…”
Section: Methodsmentioning
confidence: 99%
“…Data collection was completed in 7.5 days, yielding a dataset of good completeness to a resolution of 1.50 Å (Table 1 ). These data were reduced with the Mantid program ( 39 ) using newly developed 3D profile fitting for time-of-flight diffraction data ( 40 , 41 ). Integrated intensities were then scaled using Lauenorm from the Lauegen suite ( 42 , 43 ).…”
Section: Methodsmentioning
confidence: 99%
“…Data processing and refinement. Neutron data were integrated using MANTID 60 . Integrated neutron data were scaled and wavelength-normalized using LAUENORM from the LAUGEN suite 61 .…”
Section: Methodsmentioning
confidence: 99%