AI-enhanced biomedical micro/nanorobots in microfluidics

Hui Dong, Jiawen Lin, Yihui Tao, Yuan Jia, Lining Sun, Wen Jung Li and Hao Sun

Lab Chip, 2024, 24, 1419
DOI: 10.1039/D3LC00909B

Functions and applications of artificial intelligence in droplet microfluidics

Huan Liu, Lang Nan, Feng Chen, Yue Zhao and Yongxi Zhao

Lab Chip, 2023, 23, 2497
DOI: 10.1039/D3LC00224A

Analyzing drop coalescence in microfluidic devices with a deep learning generative model

Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar and Rossella Arcucci

Phys. Chem. Chem. Phys., 2023, 25, 15744
DOI: 10.1039/D2CP05975D

Detection and tracking of agricultural spray droplets using GSConv-enhanced YOLOv5s and DeepSORT

Chen Shengde, Liu Junyu, Xu Xiaojie, Guo Jianzhou, Hu Shiyun, Zhou Zhiyan and Lan Yubin

Computers and Electronics in Agriculture, 2025, 235, 110353
DOI: 10.1016/j.compag.2025.110353

Explainability of AI predictive models for drop coalescence in microfluidics channels: Experimental validation

Pengyuan Shao, Yixuan Jiang, Nina M. Kovalchuk, Mark J H Simmons, Omar Matar, Rossella Arcucci and Sibo Cheng

Chemical Engineering Science, 2025, 122559
DOI: 10.1016/j.ces.2025.122559

Machine learning and physics-driven modelling and simulation of multiphase systems

Nausheen Basha, Rossella Arcucci, Panagiota Angeli, Charitos Anastasiou, Thomas Abadie, César Quilodrán Casas, Jianhua Chen, Sibo Cheng, Loïc Chagot, Federico Galvanin, Claire E. Heaney, Fria Hossein, Jinwei Hu, Nina Kovalchuk, Maria Kalli, Lyes Kahouadji, Morgan Kerhouant, Alessio Lavino, Fuyue Liang, Konstantia Nathanael, Luca Magri, Paola Lettieri, Massimiliano Materazzi, Matteo Erigo, Paula Pico, Christopher C. Pain, Mosayeb Shams, Mark Simmons, Tullio Traverso, Juan Pablo Valdes, Zef Wolffs, Kewei Zhu, Yilin Zhuang and Omar K Matar

International Journal of Multiphase Flow, 2024, 179, 104936
DOI: 10.1016/j.ijmultiphaseflow.2024.104936

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm

Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang and Rossella Arcucci

Journal of Computational Science, 2025, 85, 102523
DOI: 10.1016/j.jocs.2024.102523

Entity recognition of railway signal equipment fault information based on RoBERTa-wwm and deep learning integration

Junting Lin, Shan Li, Ning Qin and Shuxin Ding

MBE, 2023, 21, 1228
DOI: 10.3934/mbe.2024052

Convolutional neural network based reconstruction of flow-fields from concentration fields for liquid-droplet coalescence

Vasanth Kumar Babu, Nadia Bihari Padhan and Rahul Pandit

Commun Phys, 2025, 8
DOI: 10.1038/s42005-025-02097-y

Optimisation of microfluidic synthesis of silver nanoparticles via data-driven inverse modelling

Konstantia Nathanael, Sibo Cheng, Nina M. Kovalchuk, Rossella Arcucci and Mark J.H. Simmons

Chemical Engineering Research and Design, 2025, 216, 523
DOI: 10.1016/j.cherd.2025.03.014

Microsystem Advances through Integration with Artificial Intelligence

Hsieh-Fu Tsai, Soumyajit Podder and Pin-Yuan Chen

Micromachines, 2023, 14, 826
DOI: 10.3390/mi14040826

Transformation of PET raw data into images for event classification using convolutional neural networks

Paweł Konieczka, Lech Raczyński, Wojciech Wiślicki, Oleksandr Fedoruk, Konrad Klimaszewski, Przemysław Kopka, Wojciech Krzemień, Roman Y. Shopa, Jakub Baran, Aurélien Coussat, Neha Chug, Catalina Curceanu, Eryk Czerwiński, Meysam Dadgar, Kamil Dulski, Aleksander Gajos, Beatrix C. Hiesmayr, Krzysztof Kacprzak, Łukasz Kapłon, Grzegorz Korcyl, Tomasz Kozik, Deepak Kumar, Szymon Niedźwiecki, Szymon Parzych, Elena Pérez del Río, Sushil Sharma, Shivani Shivani, Magdalena Skurzok, Ewa Łucja Stępień, Faranak Tayefi and Paweł Moskal

MBE, 2023, 20, 14938
DOI: 10.3934/mbe.2023669

Updated Prediction of Air Quality Based on Kalman-Attention-LSTM Network

Hao Zhou, Tao Wang, Hongchao Zhao and Zicheng Wang

Sustainability, 2022, 15, 356
DOI: 10.3390/su15010356

Hierarchical Autoencoder-Based Lossy Compression for Large-Scale High-Resolution Scientific Data

Hieu Le and Jian Tao

CAIC, 2024, 1, 1
DOI: 10.69709/CAIC.2024.193132

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models

Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain and Rossella Arcucci

J Sci Comput, 2023, 94
DOI: 10.1007/s10915-022-02059-4

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

Sibo Cheng, César Quilodrán-Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet and Rossella Arcucci

IEEE/CAA J. Autom. Sinica, 2023, 10, 1361
DOI: 10.1109/JAS.2023.123537

Machine learning for viscoelastic constitutive model identification and parameterisation using Large Amplitude Oscillatory Shear

T.P. John, M. Mowbray, A. Alalwyat, M. Vousvoukis, P. Martin, A. Kowalski and C.P. Fonte

Chemical Engineering Science, 2024, 294, 120075
DOI: 10.1016/j.ces.2024.120075

Explainable AI models for predicting drop coalescence in microfluidics device

Jinwei Hu, Kewei Zhu, Sibo Cheng, Nina M. Kovalchuk, Alfred Soulsby, Mark J.H. Simmons, Omar K. Matar and Rossella Arcucci

Chemical Engineering Journal, 2024, 481, 148465
DOI: 10.1016/j.cej.2023.148465

Named Entity Recognition for Equipment Fault Diagnosis Based on RoBERTa-wwm-ext and Deep Learning Integration

Feifei Gao, Lin Zhang, Wenfeng Wang, Bo Zhang, Wei Liu, Jingyi Zhang and Le Xie

Electronics, 2024, 13, 3935
DOI: 10.3390/electronics13193935

3D‐Var data assimilation using a variational autoencoder

Boštjan Melinc and Žiga Zaplotnik

Quart J Royal Meteoro Soc, 2024, 150, 2273
DOI: 10.1002/qj.4708

Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems

Sibo Cheng, Yilin Zhuang, Lyes Kahouadji, Che Liu, Jianhua Chen, Omar K. Matar and Rossella Arcucci

Computer Methods in Applied Mechanics and Engineering, 2024, 430, 117201
DOI: 10.1016/j.cma.2024.117201