Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation

no code implementations • 13 Jan 2019 • Jingwei Gan, Pai Liu, Rajan K. Chakrabarty

We introduce a generative adversarial network (GAN) model to simulate the 3-dimensional Lagrangian motion of particles trapped in the recirculation zone of a buoyancy-opposed flame.

Generative Adversarial Network

Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System

1 code implementation • 29 Nov 2018 • Pai Liu, Jingwei Gan, Rajan K. Chakrabarty

We introduce a deep learning method to simulate the motion of particles trapped in a chaotic recirculating flame.