Deep learning, also called machine learning, reproduces data to model problem scenarios and offer solutions. However, some problems in physics are unknown or cannot be represented in detail mathematically on a computer. Researchers developed a new method that brings physics into the machine learning process to make better predictions. The researchers used turbulence to test their method.