Improving Quantum-Chemical Prediction of 19F NMR Chemical Shifts via Machine Learning.

Chen D, Ye Y, Zhu Y, Jiang Y, Su Y, Wang C

DOI: 10.1021/acs.jcim.6c01056
Published: 2026 Sep 14
Container: Journal of chemical information and modeling
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c01056,
  title = {Improving Quantum-Chemical Prediction of 19F NMR Chemical Shifts via Machine Learning.},
  author = {Chen D and Ye Y and Zhu Y and Jiang Y and Su Y and Wang C},
  year = {2026},
  journal = {Journal of chemical information and modeling},
  doi = {10.1021/acs.jcim.6c01056},
  url = {https://doi.org/10.1021/acs.jcim.6c01056}
}

RIS

TY  - JOUR
TI  - Improving Quantum-Chemical Prediction of 19F NMR Chemical Shifts via Machine Learning.
AU  - Chen D
AU  - Ye Y
AU  - Zhu Y
AU  - Jiang Y
AU  - Su Y
AU  - Wang C
PY  - 2026
JO  - Journal of chemical information and modeling
DO  - 10.1021/acs.jcim.6c01056
UR  - https://doi.org/10.1021/acs.jcim.6c01056
ER  -

APA

D, C., Y, Y., Y, Z., Y, J., Y, S., & C, W. (2026). Improving Quantum-Chemical Prediction of 19F NMR Chemical Shifts via Machine Learning.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.6c01056

Source records

pubmed · retrieved 2026-09-25T10:12:24.504Z