Harnessing machine learning to decode and optimize bioelectrochemical systems: Principles, progress and future directions.
- DOI
- 10.1016/j.biotechadv.2026.109006
- Published
- 2026 Nov
- Container
- Biotechnology advances
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.biotechadv.2026.109006,
title = {Harnessing machine learning to decode and optimize bioelectrochemical systems: Principles, progress and future directions.},
author = {Liu M and Lou T and Yin Y and Wang C and Wang J},
year = {2026},
journal = {Biotechnology advances},
doi = {10.1016/j.biotechadv.2026.109006},
url = {https://doi.org/10.1016/j.biotechadv.2026.109006}
}RIS
TY - JOUR TI - Harnessing machine learning to decode and optimize bioelectrochemical systems: Principles, progress and future directions. AU - Liu M AU - Lou T AU - Yin Y AU - Wang C AU - Wang J PY - 2026 JO - Biotechnology advances DO - 10.1016/j.biotechadv.2026.109006 UR - https://doi.org/10.1016/j.biotechadv.2026.109006 ER -
APA
M, L., T, L., Y, Y., C, W., & J, W. (2026). Harnessing machine learning to decode and optimize bioelectrochemical systems: Principles, progress and future directions.. Biotechnology advances. https://doi.org/10.1016/j.biotechadv.2026.109006
Source records
- pubmed · retrieved 2026-09-26T20:21:09.128Z
- europe-pmc · retrieved 2026-09-26T20:21:09.146Z