Machining technologies and structural models of microfluidic devices
P Gou, S Meng, H Yan, J Liu… - Proceedings of the …, 2024 - journals.sagepub.com
In the past decades, microfluidic chips have been one of the hottest research topics in the
“lab-on-a-chip” field. However, it is still a challenge for design the perfect microchannels with …
“lab-on-a-chip” field. However, it is still a challenge for design the perfect microchannels with …
[HTML][HTML] Explainable AI models for predicting drop coalescence in microfluidics device
In the field of chemical engineering, understanding the dynamics and probability of drop
coalescence is not just an academic pursuit, but a critical requirement for advancing process …
coalescence is not just an academic pursuit, but a critical requirement for advancing process …
[HTML][HTML] Self-supervised learning of shedding droplet dynamics during steam condensation
Knowledge of condensate shedding droplet dynamics provides important information for the
characterization of two-phase heat and mass transfer phenomena. Detecting and …
characterization of two-phase heat and mass transfer phenomena. Detecting and …
Machine Learning and Physics-Driven Modelling and Simulation of Multiphase Systems
F Hossein - International Journal of Multiphase Flow, 2024 - discovery.ucl.ac.uk
We highlight the work of a multi-university collaborative programme, PREMIERE (PREdictive
Modelling with QuantIfication of UncERtainty for MultiphasE Systems), which is at the …
Modelling with QuantIfication of UncERtainty for MultiphasE Systems), which is at the …
Machine Learning and Physics-Driven Modelling and Simulation of Multiphase Systems
We highlight the work of a multi-university collaborative programme, PREMIERE (PREdictive
Modelling with QuantIfication of UncERtainty for MultiphasE Systems), which is at the …
Modelling with QuantIfication of UncERtainty for MultiphasE Systems), which is at the …