  Scientific simulations are often used to gain insight into foundational
questions. However, many potentially useful simulation results are difficult to
visualize without powerful computers. In this research, we seek to build a
surrogate model, using a generative adversarial network, to allow for the
visualization of the Earth's Mantle Convection data set on readily accessible
hardware. We present our preliminary method and results, and all code is made
publicly available. The preliminary results show that a surrogate model of the
Earth's Mantle Convection data set can generate useful results. A comparison to
the "ground-truth" is provided.
