Machine Learning in Microfluidics
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 3
Special Issue Editor
Interests: micro/nano-fluidics, micro/nano-fabrications, Development of biomedical devices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Microfluidics has revolutionized the way we manipulate and analyze fluids at the microscale, enabling a broad range of applications in diagnostics, synthetic biology, materials science, and beyond. However, the complexity of fluid dynamics, device design, and experimental variability presents significant challenges. Recent advances in machine learning (ML) offer powerful tools to address these issues, facilitating the intelligent design, control, and optimization of microfluidic systems.
This Special Issue aims to highlight the synergistic integration of machine learning techniques with microfluidic technologies. Topics of interest include, but are not limited to, ML-assisted device design, flow control, droplet and particle tracking, image-based analysis, anomaly detection, and the automation of experimental workflows. We also welcome contributions focusing on data-driven modeling, surrogate simulations, and physics-informed ML approaches tailored to microfluidic environments.
Through this Special Issue, we seek to foster interdisciplinary collaboration between the fields of microfluidics, machine learning, and computational modeling, and to promote the development of novel frameworks that enhance both the efficiency and intelligence of microscale fluidic systems.
Dr. Hyungkook Jeon
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- microfluidics
- machine learning
- lab-on-a-chip
- ML-based Flow Prediction
- Microfluidic device optimization
- image-based analysis
- automated experimentation
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