2 citations · 6 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
physics.flu-dyn2024★ 2 cited
Machine Learning in Viscoelastic Fluids via Energy-Based Kernel Embedding
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral +2
The ability to measure differences in collected data is of fundamental importance for quantitative science and machine learning, motivating the establishment of metrics grounded in…
physics.flu-dyn2024★ 2 cited
Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach
Diego A. de Aguiar, Hugo L. França, Cassio M. Oishi
Neural networks in fluid mechanics offer an efficient approach for exploring complex flows, including multiphase and free surface flows. The recurrent neural network, particularly…