Advancing sustainable energy solutions with microfluidic porous media

Wenhai Lei, Yuankai Yang, Shuo Yang, Ge Zhang, Jenna Poonoosamy, Anne Juel, Yves Méheust, Shervin Bagheri and Moran Wang

Lab Chip, 2025, 25, 3374
DOI: 10.1039/D5LC00206K

Mammalian cell culture and analysis in digital microfluidic platforms

Burcu Gumuscu

Lab Chip, 2025, 25, 3297
DOI: 10.1039/D5LC00250H

Nucleic acid amplification tests in digital microfluidics: the promise of next-generation point-of-care diagnostics

Duc Anh Thai and Yuguang Liu

Microsyst Nanoeng, 2025, 11
DOI: 10.1038/s41378-025-00977-5

Convergence of machine learning with microfluidics and metamaterials to build smart materials

Prateek Mittal, Krishnadas Narayanan Nampoothiri, Abhishek Jha and Shubhi Bansal

Int J Interact Des Manuf, 2024, 18, 6909
DOI: 10.1007/s12008-023-01707-9

The future of personalized cardiovascular medicine demands 3D and 4D printing, stem cells, and artificial intelligence

Monique Bax, Jordan Thorpe and Valentin Romanov

Front. Sens., 2023, 4
DOI: 10.3389/fsens.2023.1294721

Interrelationships between process parameters, cross‐sectional geometry, fracture behavior, and mechanical properties in material extrusion additive manufacturing

Ahmed O. Adisa, Austin R. Colon, David O. Kazmer and Amy M. Peterson

Polymer Engineering & Sci, 2023, 63, 3906
DOI: 10.1002/pen.26495

Micro-scale crystallization thermodynamics study of typical energetic compounds integrating optofluidics and machine learning

Xingyi Zhou, Li Liu, Yipeng Fei, Jinbo Liu, Jueyong Ning, Haoxuan Xia, Peng Zhu and Ruiqi Shen

Chemical Engineering Science, 2024, 298, 120443
DOI: 10.1016/j.ces.2024.120443

Unlocking the potential of microfluidics in mass spectrometry-based immunopeptidomics for tumor antigen discovery

Charlotte Stutzmann, Jiaxi Peng, Zhaoguan Wu, Christopher Savoie, Isabelle Sirois, Pierre Thibault, Aaron R. Wheeler and Etienne Caron

Cell Reports Methods, 2023, 3, 100511
DOI: 10.1016/j.crmeth.2023.100511

Automated digital microfluidics: integrating object detection with path planning through an algorithmic framework

Abdulla AlSawalhi and Christopher M Collier

J. Micromech. Microeng., 2025, 35, 085011
DOI: 10.1088/1361-6439/adf343

Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel

Faezeh Eslami and Reza Kamali

Swarm and Evolutionary Computation, 2024, 87, 101583
DOI: 10.1016/j.swevo.2024.101583

Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning

Caroline Ferguson, Yu Zhang, Cristiano Palego and Xuanhong Cheng

Sensors, 2023, 23, 5990
DOI: 10.3390/s23135990

Magnetic-material-assisted bioassays: From millimeter magnetic bars to nanometer magnetic particles

Amin Ghaffarzadeh Bakhshayesh and Huiyan Li

Materials Today Chemistry, 2025, 43, 102494
DOI: 10.1016/j.mtchem.2024.102494

Development of High-Throughput Experimentation Approaches for Rapid Radiochemical Exploration

E. William Webb, Kevin Cheng, Wade P. Winton, Brandon J.C. Klein, Gregory D. Bowden, Mami Horikawa, S. Wendy Liu, Jay S. Wright, Stefan Verhoog, Dipannita Kalyani, Michael Wismer, Shane W. Krska, Melanie S. Sanford and Peter J.H. Scott

J. Am. Chem. Soc., 2024, 146, 10581
DOI: 10.1021/jacs.3c14822

Accelerating radiochemistry development: Automated robotic platform for performing up to 64 droplet radiochemical reactions in a morning

Jason Jones, Viviann Do, Yingqing Lu and R. Michael van Dam

Chemical Engineering Journal, 2023, 468, 143524
DOI: 10.1016/j.cej.2023.143524

High Frequency and Addressable Impedance Measurement System for On-Site Droplet Analysis in Digital Microfluidics

Jin Zeng, Hang Xu, Ze-Rui Song, Jia-Le Zhou, Guo-Jun Jiang, Bing-Yong Yan, Zhen Gu and Hui-Feng Wang

Electronics, 2024, 13, 2810
DOI: 10.3390/electronics13142810

Artificial intelligence-enabled multipurpose smart detection in active-matrix electrowetting-on-dielectric digital microfluidics

Zhiqiang Jia, Chunyu Chang, Siyi Hu, Jiahao Li, Mingfeng Ge, Wenfei Dong and Hanbin Ma

Microsyst Nanoeng, 2024, 10
DOI: 10.1038/s41378-024-00765-7

The Convergence of Artificial Intelligence and Microfluidics in Drug Research and Development

Du Qiao, Hongxia Li, Xue Zhang, Xuhui Chen, Jiang Zhang, Jianan Zou, Danyang Zhao, Weiping Zhu, Xuhong Qian and Honglin Li

Engineering, 2025
DOI: 10.1016/j.eng.2025.07.025

Reimagining point-of-care assays: Automated digital microfluidics for multiplex in vitro diagnostics

Wenkai Fan, Donghao Li, Jingyi Ding and Zida Li

Talanta, 2025, 294, 128270
DOI: 10.1016/j.talanta.2025.128270

Deep Learning‐Assisted Label‐Free Parallel Cell Sorting with Digital Microfluidics

Zongliang Guo, Fenggang Li, Hang Li, Menglei Zhao, Haobing Liu, Haopu Wang, Hanqi Hu, Rongxin Fu, Yao Lu, Siyi Hu, Huikai Xie, Hanbin Ma and Shuailong Zhang

Advanced Science, 2025, 12
DOI: 10.1002/advs.202408353

Machine learning enhanced droplet microfluidics

Claire Barnes, Ashish R. Sonwane, Eva C. Sonnenschein and Francesco Del Giudice

Physics of Fluids, 2023, 35
DOI: 10.1063/5.0163806

Intelligent chemical synthesis based on microchemical engineering technology

Yongqi Pan, Yazi Yu, Lijie Wang, Guogang Hu, Yujun Wang and Guangsheng Luo

Chinese Journal of Chemical Engineering, 2025, 84, 274
DOI: 10.1016/j.cjche.2025.05.010

On-site monitoring of airborne pathogens: recent advances in bioaerosol collection and rapid detection

Xiaorui Feng, Peiya Hu, Tingyu Jin, Jiehong Fang, Fan Tang, Han Jiang and Chenze Lu

Aerobiologia, 2024, 40, 303
DOI: 10.1007/s10453-024-09824-y

Chat-microreactor: A large-language-model-based assistant for designing continuous flow systems

Yongqi Pan, Qinfan Xiao, Fangyu Zhao, Zhenhao Li, Jianyang Liu, Shafqat Ullah, Kang Hui Lim, Tianyi Huang, Zhiyuan Yu, Claudia Li, Dingyan Zhang, Qiangqiang Xue, Qiang Chen, Sibudjing Kawi, Yujun Wang and Guangsheng Luo

Chemical Engineering Science, 2025, 311, 121567
DOI: 10.1016/j.ces.2025.121567

Harnessing Synergies between Combinatorial Microfluidics and Machine Learning for Chemistry, Biology, and Fluidic Design

Suyash S. Damir, Julie Probst, Andrew deMello and Stavros Stavrakis

Chemistry Methods, 2025
DOI: 10.1002/cmtd.202500069