Researchers from several physics and geology laboratories have developed Deep Emulator Network SEarch (DENSE), a technique for using deep-learning to perform scientific simulations from various fields from high-energy physics to climate science. Compared to previous simulators, the results from DENSE achieved speedups ranging from 10 million to 2 billion times.