Autonomous in silico optimization framework for high-performance micromixers

Effective mixing at the microscale is essential for lab-on-a-chip systems, yet designing micromixers that achieve both high mixing efficiency and low pressure drop remains challenging and resource-intensive. Here, we introduce an autonomous in silico framework for designing obstacle-based micromixer...

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Bibliographic Details

Main Authors:	Xiao Liang, Yue Xie, Jiyizhe Zhang, Wensheng Huang, Boyu Pan, Xin Yee Tai, Jin Xuan, Alexei A Lapkin, Huizhi Wang
Format:	Default Article
Published:	2026
Subjects:	Chemical engineering Civil engineering Environmental engineering Materials engineering Chemical Engineering Obstacle-based micromixers Autonomous optimization workflow Mixing index Pressure drop Hyperspectral imaging
Online Access:	https://hdl.handle.net/2134/31075588.v1
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