Published March 25, 2025 | Version v1

Thin film structures and transfer integrations

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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).

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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