Harnessing bioreactor heterogeneity: From gradient understanding to autonomous control via multiscale modeling and intelligent optimization.
- DOI
- 10.1016/j.biotechadv.2026.108899
- Published
- 2026 Sep
- Container
- Biotechnology advances
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.biotechadv.2026.108899,
title = {Harnessing bioreactor heterogeneity: From gradient understanding to autonomous control via multiscale modeling and intelligent optimization.},
author = {Gu Q and Yu J and Liu Y and Wang Y and Li C and Zhuang Y},
year = {2026},
journal = {Biotechnology advances},
doi = {10.1016/j.biotechadv.2026.108899},
url = {https://doi.org/10.1016/j.biotechadv.2026.108899}
}RIS
TY - JOUR TI - Harnessing bioreactor heterogeneity: From gradient understanding to autonomous control via multiscale modeling and intelligent optimization. AU - Gu Q AU - Yu J AU - Liu Y AU - Wang Y AU - Li C AU - Zhuang Y PY - 2026 JO - Biotechnology advances DO - 10.1016/j.biotechadv.2026.108899 UR - https://doi.org/10.1016/j.biotechadv.2026.108899 ER -
APA
Q, G., J, Y., Y, L., Y, W., C, L., & Y, Z. (2026). Harnessing bioreactor heterogeneity: From gradient understanding to autonomous control via multiscale modeling and intelligent optimization.. Biotechnology advances. https://doi.org/10.1016/j.biotechadv.2026.108899
Source records
- pubmed · retrieved 2026-09-25T20:31:33.405Z