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Title: Machine-learning prediction for quasiparton distribution function matrix elements

Authors:
ORCiD logo; ORCiD logo; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21); USDOE Office of Science (SC), Nuclear Physics (NP) (SC-26)
OSTI Identifier:
1601715
Grant/Contract Number:  
[AC02-05CH11231; 89233218CNA000001]
Resource Type:
Published Article
Journal Name:
Physical Review D
Additional Journal Information:
[Journal Name: Physical Review D Journal Volume: 101 Journal Issue: 3]; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Zhang, Rui, Fan, Zhouyou, Li, Ruizi, Lin, Huey-Wen, and Yoon, Boram. Machine-learning prediction for quasiparton distribution function matrix elements. United States: N. p., 2020. Web. doi:10.1103/PhysRevD.101.034516.
Zhang, Rui, Fan, Zhouyou, Li, Ruizi, Lin, Huey-Wen, & Yoon, Boram. Machine-learning prediction for quasiparton distribution function matrix elements. United States. doi:10.1103/PhysRevD.101.034516.
Zhang, Rui, Fan, Zhouyou, Li, Ruizi, Lin, Huey-Wen, and Yoon, Boram. Mon . "Machine-learning prediction for quasiparton distribution function matrix elements". United States. doi:10.1103/PhysRevD.101.034516.
@article{osti_1601715,
title = {Machine-learning prediction for quasiparton distribution function matrix elements},
author = {Zhang, Rui and Fan, Zhouyou and Li, Ruizi and Lin, Huey-Wen and Yoon, Boram},
abstractNote = {},
doi = {10.1103/PhysRevD.101.034516},
journal = {Physical Review D},
number = [3],
volume = [101],
place = {United States},
year = {2020},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1103/PhysRevD.101.034516

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