Multimodal deep learning for species-aware prediction of chemical toxicity to aquatic plants
- DOI
- 10.1016/j.jhazmat.2026.143864
- Published
- 2026-11
- Container
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jhazmat.2026.143864,
title = {Multimodal deep learning for species-aware prediction of chemical toxicity to aquatic plants},
author = {Zhixuan Yin and Jieming Li},
year = {2026},
journal = {Journal of Hazardous Materials},
doi = {10.1016/j.jhazmat.2026.143864},
url = {https://doi.org/10.1016/j.jhazmat.2026.143864}
}RIS
TY - JOUR TI - Multimodal deep learning for species-aware prediction of chemical toxicity to aquatic plants AU - Zhixuan Yin AU - Jieming Li PY - 2026 JO - Journal of Hazardous Materials DO - 10.1016/j.jhazmat.2026.143864 UR - https://doi.org/10.1016/j.jhazmat.2026.143864 ER -
APA
Yin, Z., & Li, J. (2026). Multimodal deep learning for species-aware prediction of chemical toxicity to aquatic plants. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2026.143864
Source records
- crossref · retrieved 2026-11-06T23:03:44.574Z