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Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity
Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning to inform the design of a semi-continuous algal cul...
Autores principales: | Long, Bin, Fischer, Bart, Zeng, Yining, Amerigian, Zoe, Li, Qiang, Bryant, Henry, Li, Man, Dai, Susie Y., Yuan, Joshua S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795378/ https://www.ncbi.nlm.nih.gov/pubmed/35087023 http://dx.doi.org/10.1038/s41467-021-27665-y |
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