Predicting wind-driven spatial deposition through simulated color images using deep autoencoders.

For centuries, scientists have observed nature to understand the laws that govern the physical world. The traditional process of turning observations into physical understanding is slow. Imperfect models are constructed and tested to explain relationships in data.