CeyeHao: AI-driven microfluidic flow programming with hierarchically assembled obstacles and receptive field–augmented neural network Article Swipe
Zhenyu Yang
,
Zhongning Jiang
,
Haisong Lin
,
Xiaoxue Fan
,
Changjin Wu
,
Edmund Y. Lam
,
Hayden Kwok‐Hay So
,
Ho Cheung Shum
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1126/sciadv.adx2826
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1126/sciadv.adx2826
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 than double flow transformation modes and immense configurability compared to state-of-the-art methods. An AI model, CEyeNet, predicts the transformed flow profiles, reducing computation time by up to 2700 folds and achieving up to 97 and 90% accuracy with simulated and experiment results. CeyeHao facilitates microchannel design in both human-guided and automatic modes, enabling creation of flow morphologies with highly regulated geometries and elaborate artistic patterns, along with precise topology manipulation of multiple streams. The superior flow manipulation capability of CeyeHao can facilitate broad applications from complex microstructure fabrication to precise reaction control.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1126/sciadv.adx2826
- OA Status
- gold
- Cited By
- 3
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412741583
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412741583Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1126/sciadv.adx2826Digital Object Identifier
- Title
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CeyeHao: AI-driven microfluidic flow programming with hierarchically assembled obstacles and receptive field–augmented neural networkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-07-30Full publication date if available
- Authors
-
Zhenyu Yang, Zhongning Jiang, Haisong Lin, Xiaoxue Fan, Changjin Wu, Edmund Y. Lam, Hayden Kwok‐Hay So, Ho Cheung ShumList of authors in order
- Landing page
-
https://doi.org/10.1126/sciadv.adx2826Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1126/sciadv.adx2826Direct OA link when available
- Concepts
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Microfluidics, Computer science, Microchannel, Flow (mathematics), Nanotechnology, Fabrication, Transformation (genetics), Artificial intelligence, Biological system, Materials science, Physics, Mechanics, Chemistry, Alternative medicine, Biology, Gene, Pathology, Biochemistry, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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