Attention-based functional-group coarse-graining: a deep learning framework for molecular prediction and design
- DOI
- 10.1038/s41524-025-01836-7
- Published
- 11
- Container
- npj Computational Materials
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41524-025-01836-7,
title = {Attention-based functional-group coarse-graining: a deep learning framework for molecular prediction and design},
author = {Ming Han and Ge Sun and Paul F. Nealey and Juan J. de Pablo},
year = {2025},
journal = {npj Computational Materials},
doi = {10.1038/s41524-025-01836-7},
url = {https://doi.org/10.1038/s41524-025-01836-7}
}RIS
TY - JOUR TI - Attention-based functional-group coarse-graining: a deep learning framework for molecular prediction and design AU - Ming Han AU - Ge Sun AU - Paul F. Nealey AU - Juan J. de Pablo PY - 2025 JO - npj Computational Materials DO - 10.1038/s41524-025-01836-7 UR - https://doi.org/10.1038/s41524-025-01836-7 ER -
APA
Han, M., Sun, G., Nealey, P. F., & Pablo, J. J. D. (2025). Attention-based functional-group coarse-graining: a deep learning framework for molecular prediction and design. npj Computational Materials. https://doi.org/10.1038/s41524-025-01836-7
Source records
- doaj · retrieved 2026-11-10T13:39:25.094Z