Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning.

Qu, Xiaobo; Huang, Yihui; Lu, Hengfa; Qiu, Tianyu; Guo, Di; Agback, Tatiana; Orekhov, Vladislav; Chen, Zhong

Qu, Xiaobo; Huang, Yihui; Lu, Hengfa; Qiu, Tianyu; Guo, Di; Agback, Tatiana; Orekhov, Vladislav; Chen, Zhong.

Afiliação

Qu X; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, P.O.Box 979, Xiamen, 361005, China.
Huang Y; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, P.O.Box 979, Xiamen, 361005, China.
Lu H; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, P.O.Box 979, Xiamen, 361005, China.
Qiu T; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, P.O.Box 979, Xiamen, 361005, China.
Guo D; School of Computer and Information Engineering, Xiamen University of Technology, China.
Agback T; Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Orekhov V; Department of Chemistry and Molecular Biology, University of Gothenburg, Box 465, Gothenburg, 40530, Sweden.
Chen Z; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, P.O.Box 979, Xiamen, 361005, China.

Angew Chem Int Ed Engl ; 59(26): 10297-10300, 2020 06 22.

Article em En | MEDLINE | ID: mdl-31490596

Palavras-chave

NMR spectroscopy; artificial intelligence; deep learning; fast sampling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Angew Chem Int Ed Engl Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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