Pushing the Limits of One-Dimensional NMR Spectroscopy for Automated Structure Elucidation Using Artificial Intelligence
C NMR spectra, thus overcoming the combinatorial growth of the chemical space while also being extensible to experimental data via fine-tuning.
Authors
- Matthew W. Kanan (ORCID: https://orcid.org/0000-0002-5932-6289)
- Thomas E. Markland (ORCID: https://orcid.org/0000-0002-2747-0518)
- Grant M. Rotskoff (ORCID: https://orcid.org/0000-0002-7772-5179)
- Mikhail Elyashberg
- Frank Hu (ORCID: https://orcid.org/0009-0001-4783-0947)
- Dimitris Argyropoulos (ORCID: https://orcid.org/0000-0002-1710-4418)
- J. A. Tubb
- Sergey Golotvin
Institutions
- Stanford University (US)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-06-08
- DOI
- https://doi.org/10.1021/acs.jcim.6c00905
- Primary Topic
- Molecular spectroscopy and chirality
- Type
- article
- Field-Weighted Citation Impact
- 0.00