Works matching Nuclear magnetic resonance


Results: 5000
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    DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data.

    Published in:
    Journal of Cheminformatics, 2023, v. 15, n. 1, p. 1, doi. 10.1186/s13321-023-00738-4
    By:
    • Kim, Hyun Woo;
    • Zhang, Chen;
    • Reher, Raphael;
    • Wang, Mingxun;
    • Alexander, Kelsey L.;
    • Nothias, Louis-Félix;
    • Han, Yoo Kyong;
    • Shin, Hyeji;
    • Lee, Ki Yong;
    • Lee, Kyu Hyeong;
    • Kim, Myeong Ji;
    • Dorrestein, Pieter C.;
    • Gerwick, William H.;
    • Cottrell, Garrison W.
    Publication type:
    Article
    24

    DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data.

    Published in:
    Journal of Cheminformatics, 2023, v. 15, n. 1, p. 1, doi. 10.1186/s13321-023-00738-4
    By:
    • Kim, Hyun Woo;
    • Zhang, Chen;
    • Reher, Raphael;
    • Wang, Mingxun;
    • Alexander, Kelsey L.;
    • Nothias, Louis-Félix;
    • Han, Yoo Kyong;
    • Shin, Hyeji;
    • Lee, Ki Yong;
    • Lee, Kyu Hyeong;
    • Kim, Myeong Ji;
    • Dorrestein, Pieter C.;
    • Gerwick, William H.;
    • Cottrell, Garrison W.
    Publication type:
    Article
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