Browse by UCL people
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Number of items: 5.
Article
Basha, Nausheen;
Arcucci, Rossella;
Angeli, Panagiota;
Anastasiou, Charitos;
Abadie, Thomas;
Casas, César Quilodrán;
Chen, Jianhua;
... Matar, Omar K; + view all
(2024)
Machine learning and physics-driven modelling and simulation of multiphase systems.
International Journal of Multiphase Flow
, 179
, Article 104936. 10.1016/j.ijmultiphaseflow.2024.104936.
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Cheng, S;
Bocquet, M;
Ding, W;
Finn, TS;
Fu, R;
Fu, J;
Guo, Y;
... Arcucci, R; + view all
(2025)
Machine learning for modelling unstructured grid data in computational physics: A review.
Information Fusion
, 123
, Article 103255. 10.1016/j.inffus.2025.103255.
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Hu, Jinwei;
Zhu, Kewei;
Cheng, Sibo;
Kovalchuk, Nina M;
Soulsby, Alfred;
Simmons, Mark JH;
Matar, Omar K;
(2024)
Explainable AI models for predicting drop coalescence in microfluidics device.
Chemical Engineering Journal
, 481
, Article 148465. 10.1016/j.cej.2023.148465.
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Xia, Zeyu;
Ma, Kan;
Cheng, Sibo;
Blackburn, Thomas;
Peng, Ziling;
Zhu, Kewei;
Zhang, Weihang;
... Arcucci, Rossella; + view all
(2023)
Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys.
Physical Chemistry Chemical Physics
, 25
(23)
pp. 15970-15987.
10.1039/d3cp00402c.
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Zhu, Kewei;
Cheng, Sibo;
Kovalchuk, Nina;
Simmons, Mark;
Guo, Yi-Ke;
Matar, Omar K;
Arcucci, Rossella;
(2023)
Analyzing drop coalescence in microfluidic devices with a deep learning generative model.
Physical Chemistry Chemical Physics
, 25
(23)
pp. 15744-15755.
10.1039/d2cp05975d.
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