Mechanism-informed machine learning for optimizing herbal residue-assisted anaerobic co-digestion using polydopamine-modified Fe–Ni foam
- DOI
- 10.1016/j.biortech.2026.135882
- Published
- 2027-01
- Container
- Bioresource Technology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.135882,
title = {Mechanism-informed machine learning for optimizing herbal residue-assisted anaerobic co-digestion using polydopamine-modified Fe–Ni foam},
author = {Zheng Dong and Shengxian Cao and Bo Zhao and Gong Wang and Jingchen Liu},
year = {2027},
journal = {Bioresource Technology},
doi = {10.1016/j.biortech.2026.135882},
url = {https://doi.org/10.1016/j.biortech.2026.135882}
}RIS
TY - JOUR TI - Mechanism-informed machine learning for optimizing herbal residue-assisted anaerobic co-digestion using polydopamine-modified Fe–Ni foam AU - Zheng Dong AU - Shengxian Cao AU - Bo Zhao AU - Gong Wang AU - Jingchen Liu PY - 2027 JO - Bioresource Technology DO - 10.1016/j.biortech.2026.135882 UR - https://doi.org/10.1016/j.biortech.2026.135882 ER -
APA
Dong, Z., Cao, S., Zhao, B., Wang, G., & Liu, J. (2027). Mechanism-informed machine learning for optimizing herbal residue-assisted anaerobic co-digestion using polydopamine-modified Fe–Ni foam. Bioresource Technology. https://doi.org/10.1016/j.biortech.2026.135882
Source records
- crossref · retrieved 2026-09-25T14:43:54.055Z