17 citations · 34 across the 5 of their papers we have counts for
3 papers · 1 filter
Uncertainty Tube Visualization of Particle Trajectories
Jixian Li, Timbwaoga Aime Judicael Ouermi, Mengjiao Han +1
Predicting particle trajectories with neural networks (NNs) has substantially enhanced many scientific and engineering domains. However, effectively quantifying and visualizing the…
Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles
Mengjiao Han, Tushar M. Athawale, David Pugmire +1
Visualizing the uncertainty of ensemble simulations is challenging due to the large size and multivariate and temporal features of ensemble data sets. One popular approach to study…
Exploratory Lagrangian-Based Particle Tracing Using Deep Learning
Mengjiao Han, Sudhanshu Sane, Chris R. Johnson
Time-varying vector fields produced by computational fluid dynamics simulations are often prohibitively large and pose challenges for accurate interactive analysis and exploration.…