Published March 25, 2025
| Version v1
Dataset
Open
Thin film structures and transfer integrations
Authors/Creators
Description
This record contains thin-film molecular structures and high-accuracy density functional theory (DFT) transfer integrals for molecular pairs. It serves as a downstream dataset for training and evaluating OCNet in intermolecular electronic-coupling prediction and multiscale charge-transport and carrier-mobility simulations. The dataset is associated with the article “Virtual characterization via knowledge-enhanced representation learning: from organic conjugated molecules to devices” (npj Computational Materials, 2025; DOI: 10.1038/s41524-025-01788-y).
Files
film_elec_mobility.zip
Files
(69.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:9c96c10cd5a51a93e720142f88f296bd
|
69.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.1038/s41524-025-01788-y (DOI)
References
- Zhao, G.; Ou, Q.; Zhao, Z.; Chen, S.; Lin, H.; Ji, X.; Wang, Z.; Wang, H.; Cai, H.; Wu, L.; Lu, S.; Yang, F.; Wen, Y.; Zhang, Y.; Ma, H.; Gao, Z.; Cheng, Z.; E, W. Virtual characterization via knowledge-enhanced representation learning: from organic conjugated molecules to devices. npj Computational Materials 2025, 11, 308. https://doi.org/10.1038/s41524-025-01788-y