Researchers have created a machine-learning-based tool that can predict where radioactive emissions from nuclear power plants will disperse. After training using extensive data on previous weather patterns, the tool consistently achieved over 85 percent predictive accuracy, and up to 95 percent in winter when large and predictable weather systems dominate. This tool can aid immediate evacuation in the aftermath of disasters like those at Fukushima and Chernobyl.