Interpretable QSPR modeling of PFAS endpoints via transformer-driven SMILES-to-molecular descriptor learning.
- DOI
- 10.1016/j.jhazmat.2026.143926
- Published
- 2026-10-15
- Container
- J Hazard Mater
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jhazmat.2026.143926,
title = {Interpretable QSPR modeling of PFAS endpoints via transformer-driven SMILES-to-molecular descriptor learning.},
author = {Jeong C and Kim S and Woo T and Jeon N and Kim S and Yoo C and Heo S.},
year = {2026},
journal = {J Hazard Mater},
doi = {10.1016/j.jhazmat.2026.143926},
url = {https://doi.org/10.1016/j.jhazmat.2026.143926}
}RIS
TY - JOUR TI - Interpretable QSPR modeling of PFAS endpoints via transformer-driven SMILES-to-molecular descriptor learning. AU - Jeong C AU - Kim S AU - Woo T AU - Jeon N AU - Kim S AU - Yoo C AU - Heo S. PY - 2026 JO - J Hazard Mater DO - 10.1016/j.jhazmat.2026.143926 UR - https://doi.org/10.1016/j.jhazmat.2026.143926 ER -
APA
C, J., S, K., T, W., N, J., S, K., C, Y., & S., H. (2026). Interpretable QSPR modeling of PFAS endpoints via transformer-driven SMILES-to-molecular descriptor learning.. J Hazard Mater. https://doi.org/10.1016/j.jhazmat.2026.143926
Source records
- europe-pmc · retrieved 2026-11-10T14:34:14.682Z