32 citations · 72 across the 13 of their papers we have counts for
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cs.LG2022
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…
cs.LG2021★ 15 cited
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.…