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Updated: Feb 11, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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通过集成的计算流体动力学和机器学习框架,在双螺旋中优化氧气转移和水力动力学剪切的多目标优化

Qingfeng Gu1, Shuoyan Ji1, Yongqiang Liu1

  • 1State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Rd, Shanghai 200237, China.

Bioresource technology
|February 9, 2026
PubMed
概括

智能生物反应器设计框架提高了氧气传输98.4%,并增加了β-胡卜素产量30.9%. 这种计算流体动力学和机器学习方法优化了混合生物反应器的生物制造.

关键词:
布莱克斯带来了三胞胎.氧气质量转移是指氧气的质量转移.剪切拉变率是指剪切拉变的速度.式水箱生物反应器的生物反应器乙-胡卜素 β-胡卜素 的含量.

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