Hypothesis‐and‐Refinement Learning of Organic Structures From Multimodal Spectroscopic Data
- DOI
- 10.1002/anie.9212238
- Published
- 2026-09-11
- Container
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/anie.9212238,
title = {Hypothesis‐and‐Refinement Learning of Organic Structures From Multimodal Spectroscopic Data},
author = {Chengchun Liu and Zhiyuan Yan and Li Yuan and Hao Li and Boxuan Zhao and Yonghong Tian and Bartosz A. Grzybowski and Fanyang Mo},
year = {2026},
journal = {Angewandte Chemie International Edition},
doi = {10.1002/anie.9212238},
url = {https://doi.org/10.1002/anie.9212238}
}RIS
TY - JOUR TI - Hypothesis‐and‐Refinement Learning of Organic Structures From Multimodal Spectroscopic Data AU - Chengchun Liu AU - Zhiyuan Yan AU - Li Yuan AU - Hao Li AU - Boxuan Zhao AU - Yonghong Tian AU - Bartosz A. Grzybowski AU - Fanyang Mo PY - 2026 JO - Angewandte Chemie International Edition DO - 10.1002/anie.9212238 UR - https://doi.org/10.1002/anie.9212238 ER -
APA
Liu, C., Yan, Z., Yuan, L., Li, H., Zhao, B., Tian, Y., Grzybowski, B. A., & Mo, F. (2026). Hypothesis‐and‐Refinement Learning of Organic Structures From Multimodal Spectroscopic Data. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.9212238
Source records
- crossref · retrieved 2026-09-24T20:59:59.702Z