Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges.

Medina H, Drake R

Open source

DOI
10.1021/acs.jcim.5c02421
Published
2026 Feb 9
Container
Journal of chemical information and modeling
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.5c02421,
  title = {Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges.},
  author = {Medina H and Drake R},
  year = {2026},
  journal = {Journal of chemical information and modeling},
  doi = {10.1021/acs.jcim.5c02421},
  url = {https://doi.org/10.1021/acs.jcim.5c02421}
}

RIS

TY  - JOUR
TI  - Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges.
AU  - Medina H
AU  - Drake R
PY  - 2026
JO  - Journal of chemical information and modeling
DO  - 10.1021/acs.jcim.5c02421
UR  - https://doi.org/10.1021/acs.jcim.5c02421
ER  - 

APA

H, M., & R, D. (2026). Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.5c02421

Source records