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

EarthGAN: Can we visualize the Earth's mantle convection using a surrogate model?