Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks
Lagrangian representations of flow fields have gained prominence for enabling fast, accurate analysis and exploration of time-varying flow behaviors. In this paper, we present a comprehensive evaluation to establish a robust and efficient framework for Lagrangian-based particle tracing using deep neural networks (DNNs). Han et al. (2021) first proposed a …