Researchers have developed a high-throughput framework using InterMatch for designing atomic interfaces. This development is part of a broader trend of using machine learning and data-driven methods in computational surface and interface science. The application of these methods is being explored in various areas, including the design of van der Waals bilayers, superlattices, and interfaces for energy storage and other technologies.