Accurate and Efficient NMR Crystallography through Machine-Learning Geometry Optimization and Shielding Prediction.
- DOI
- 10.1021/acs.jpclett.6c02446
- Published
- 2026 Sep 3
- Container
- The journal of physical chemistry letters
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpclett.6c02446,
title = {Accurate and Efficient NMR Crystallography through Machine-Learning Geometry Optimization and Shielding Prediction.},
author = {Chaloupecká E and Socha O and Dračínský M},
year = {2026},
journal = {The journal of physical chemistry letters},
doi = {10.1021/acs.jpclett.6c02446},
url = {https://doi.org/10.1021/acs.jpclett.6c02446}
}RIS
TY - JOUR TI - Accurate and Efficient NMR Crystallography through Machine-Learning Geometry Optimization and Shielding Prediction. AU - Chaloupecká E AU - Socha O AU - Dračínský M PY - 2026 JO - The journal of physical chemistry letters DO - 10.1021/acs.jpclett.6c02446 UR - https://doi.org/10.1021/acs.jpclett.6c02446 ER -
APA
E, C., O, S., & M, D. (2026). Accurate and Efficient NMR Crystallography through Machine-Learning Geometry Optimization and Shielding Prediction.. The journal of physical chemistry letters. https://doi.org/10.1021/acs.jpclett.6c02446
Source records
- pubmed · retrieved 2026-09-25T08:07:49.542Z