Machine-and-data intelligence for synchrotron science

Jizhou Li; Xiaobiao Huang; Piero Pianetta; Yijin Liu

doi:10.1038/s42254-021-00397-0

Machine-and-data intelligence for synchrotron science

Jizhou Li, Xiaobiao Huang, Piero Pianetta, Yijin Liu^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › Comment/debate

16 Citations (Scopus)

Original language	English
Pages (from-to)	766-768
Journal	Nature Reviews Physics
Volume	3
Issue number	12
Online published	11 Nov 2021
DOIs	https://doi.org/10.1038/s42254-021-00397-0
Publication status	Published - Dec 2021
Externally published	Yes

Research Keywords

Data Science

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10.1038/s42254-021-00397-0

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title = "Machine-and-data intelligence for synchrotron science",

keywords = "Data Science",

author = "Jizhou Li and Xiaobiao Huang and Piero Pianetta and Yijin Liu",

year = "2021",

month = dec,

doi = "10.1038/s42254-021-00397-0",

language = "English",

volume = "3",

pages = "766--768",

journal = "Nature Reviews Physics",

issn = "2522-5820",

publisher = "Springer Nature Switzerland AG",

number = "12",

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TY - JOUR

T1 - Machine-and-data intelligence for synchrotron science

AU - Li, Jizhou

AU - Huang, Xiaobiao

AU - Pianetta, Piero

AU - Liu, Yijin

PY - 2021/12

Y1 - 2021/12

KW - Data Science

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U2 - 10.1038/s42254-021-00397-0

DO - 10.1038/s42254-021-00397-0

M3 - Comment/debate

SN - 2522-5820

VL - 3

SP - 766

EP - 768

JO - Nature Reviews Physics

JF - Nature Reviews Physics

IS - 12

ER -

Machine-and-data intelligence for synchrotron science

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