Researchers are using machine learning to study charge density waves in two-dimensional materials, including NbSe2. The approach may also be applicable to other materials, such as TiSe2, and could lead to discoveries of new materials with similar properties. The use of machine learning in this field appears to be a broader trend, with potential applications in simulating and visualizing various material properties.