Science Advances • Vol 11 • No 31
CeyeHao: AI-driven microfluidic flow programming with hierarchically assembled obstacles and receptive field–augmented neural network
July 2025 • Zhenyu Yang, Zhongning Jiang, Haisong Lin, Xiaoxue Fan, Changjin Wu, Edmund Y. Lam, Hayden Kwok‐Hay So, Ho Cheung Shum
Microfluidic fabrication technologies are increasingly used to produce functional anisotropic microstructures for broad applications. However, the limited flow manipulation methods hinder the production of intricate microstructure morphologies. In this work, we introduce CeyeHao, an artificial intelligence–driven flow programming methodology for designing microchannels to perform unprecedented flow manipulations. In CeyeHao, microchannels containing hierarchically assembled obstacles are constructed, offering more…