A sustainable large language model predict framework for anaerobic digestion: bridging laboratory knowledge and industrial scaling.
- DOI
- 10.1016/j.biortech.2026.135678
- Published
- 2026 Aug 19
- Container
- Bioresource technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.135678,
title = {A sustainable large language model predict framework for anaerobic digestion: bridging laboratory knowledge and industrial scaling.},
author = {Zhang Y and Quan P and Wang F and Pan Z and Wang X and Lin H and Leong ZH and Zhang J and Peng J and Li Y and Wen Z},
year = {2026},
journal = {Bioresource technology},
doi = {10.1016/j.biortech.2026.135678},
url = {https://doi.org/10.1016/j.biortech.2026.135678}
}RIS
TY - JOUR TI - A sustainable large language model predict framework for anaerobic digestion: bridging laboratory knowledge and industrial scaling. AU - Zhang Y AU - Quan P AU - Wang F AU - Pan Z AU - Wang X AU - Lin H AU - Leong ZH AU - Zhang J AU - Peng J AU - Li Y AU - Wen Z PY - 2026 JO - Bioresource technology DO - 10.1016/j.biortech.2026.135678 UR - https://doi.org/10.1016/j.biortech.2026.135678 ER -
APA
Y, Z., P, Q., F, W., Z, P., X, W., H, L., ZH, L., J, Z., J, P., Y, L., & Z, W. (2026). A sustainable large language model predict framework for anaerobic digestion: bridging laboratory knowledge and industrial scaling.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.135678
Source records
- pubmed · retrieved 2026-09-25T07:06:57.198Z