生物过程的介尺度模拟仿真与AI优化

Mesoscale simulation and AI optimization of bioprocesses

摘要:

生物过程是利用活性生物细胞或酶实现底物生物转化的一种绿色可持续、环境友好的加工过程，在生物制造中起着关键作用。具有双重属性的生物过程多层次多尺度间的复杂关联导致生物过程的优化十分困难，深入认识介尺度机理是了解生物过程动态变化和梳理多尺度复杂关系的关键之一。介尺度的数值模拟为介尺度现象的认识提供了一种新途径，人工智能(artificial intelligence, AI)优化与介尺度模拟的结合为生物过程的优化注入了新的活力。本文综述了生物过程中介尺度模拟和AI优化的研究进展，探讨了可能的发展方向，以期促进介尺度模拟和AI优化在生物过程中的应用与发展。

关键词:生物过程;介尺度模拟;计算流体力学;人工智能优化;机器学习

Abstract:

As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bioprocesses because of the complex relationship at multiple levels and multiple scales. The knowledge of mesoscale behaviors is the key to understanding the dynamics of bioprocesses and to sort out the complex relationships of parameter variations in the spatial-temporal domain. Mesoscale numerical simulation paves a way for understanding these phenomena, and the integration of artificial intelligence (AI) and mesoscale simulation offers new vitality into the optimization of bioprocesses. This article reviews the progress in mesoscale simulation and AI optimization of bioprocesses and discusses the possible development directions, aiming to promote the development of this field.

Key words:bioprocess;mesoscale simulation;computational fluid dynamics;artificial intelligence (AI) optimization;machine learning