2 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
Prediction of Viscoelastic Droplet Impact Dynamics Using a Vision Transformer-Based Approach
Diego A. de Aguiar, Cassio M. Oishi
Droplet impact on solid surfaces is a complex fluid dynamics problem with applications in spray cooling, inkjet printing, and pharmaceutical processing. Although numerical simulati…
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…
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…
Nonlinear parametric models of viscoelastic fluid flows
Cassio M. Oishi, Alan A. Kaptanoglu, J. Nathan Kutz +1
Reduced-order models have been widely adopted in fluid mechanics, particularly in the context of Newtonian fluid flows. These models offer the ability to predict complex dynamics,…