Multi-scale machine learning reveals the effects of sulfur species on sludge anaerobic fermentation: Bridging macroscopic performance and microscopic molecular mechanisms.
- DOI
- 10.1016/j.watres.2026.126524
- Published
- 2026 Oct 15
- Container
- Water research
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126524,
title = {Multi-scale machine learning reveals the effects of sulfur species on sludge anaerobic fermentation: Bridging macroscopic performance and microscopic molecular mechanisms.},
author = {Cheng B and Jiang J and Guo G and Zhang W and Chen G},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126524},
url = {https://doi.org/10.1016/j.watres.2026.126524}
}RIS
TY - JOUR TI - Multi-scale machine learning reveals the effects of sulfur species on sludge anaerobic fermentation: Bridging macroscopic performance and microscopic molecular mechanisms. AU - Cheng B AU - Jiang J AU - Guo G AU - Zhang W AU - Chen G PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126524 UR - https://doi.org/10.1016/j.watres.2026.126524 ER -
APA
B, C., J, J., G, G., W, Z., & G, C. (2026). Multi-scale machine learning reveals the effects of sulfur species on sludge anaerobic fermentation: Bridging macroscopic performance and microscopic molecular mechanisms.. Water research. https://doi.org/10.1016/j.watres.2026.126524
Source records
- pubmed · retrieved 2026-09-25T14:19:58.771Z
- europe-pmc · retrieved 2026-09-25T14:19:58.791Z