A Multimodal Semi-Supervised Learning Framework for Pharmaceutical Cocrystals Prediction

Mohammad Amin Ghanavati, Seyed Mohamad Moosavi, Sohrab Rohani

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DOI: 10.1021/acs.jcim.6c01386
Published: 2026-07-24
Container: Journal of Chemical Information and Modeling
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c01386,
  title = {A Multimodal Semi-Supervised
Learning Framework for
Pharmaceutical Cocrystals Prediction},
  author = {Mohammad Amin Ghanavati and Seyed Mohamad Moosavi and Sohrab Rohani},
  year = {2026},
  journal = {Journal of Chemical Information
and Modeling},
  doi = {10.1021/acs.jcim.6c01386},
  url = {https://doi.org/10.1021/acs.jcim.6c01386}
}

RIS

TY  - JOUR
TI  - A Multimodal Semi-Supervised
Learning Framework for
Pharmaceutical Cocrystals Prediction
AU  - Mohammad Amin Ghanavati
AU  - Seyed Mohamad Moosavi
AU  - Sohrab Rohani
PY  - 2026
JO  - Journal of Chemical Information
and Modeling
DO  - 10.1021/acs.jcim.6c01386
UR  - https://doi.org/10.1021/acs.jcim.6c01386
ER  -

APA

Ghanavati, M. A., Moosavi, S. M., & Rohani, S. (2026). A Multimodal Semi-Supervised Learning Framework for Pharmaceutical Cocrystals Prediction. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01386

Source records

crossref · retrieved 2026-09-25T12:12:42.101Z