Supplementary Material

The supplementary material provides an overview of methodologies and results related to acoustofluidic cell separation. It includes sections detailing the simulation approach and a sensitivity analysis that highlights how design parameters affect response factors such as cell recovery rate and energy consumption. Schematic representations of the MOPSO and DE algorithms formulation illustrate their components and interactions. Additionally, the detailed fabrication process of the acousto-microfluidic chip is described, along with data-driven surrogate modeling data-sheets. The design nodes and their corresponding response values presented, while results from MOPSO and DE solutions are also included, offering insights into machine learning optimization outcomes.

本补充材料概述了与声流体细胞分离相关的研究方法与实验结果。其下设详细阐述仿真方法的章节，以及敏感性分析内容——该分析明确了设计参数对细胞回收率、能耗等响应因子的影响规律。多目标粒子群优化算法（MOPSO）与差分进化算法（DE）的公式化示意图展示了二者的组成模块与交互逻辑。此外，本材料还详细介绍了声微流控芯片的制备工艺，以及数据驱动代理建模数据集表。文中给出了设计节点及其对应的响应值，同时收录了基于MOPSO与DE算法得到的求解结果，可为机器学习优化任务的效果分析提供参考依据。