Fig. 1: Schematic depiction of exemplary grand challenge areas in surface science.
From: Machine learning and data-driven methods in computational surface and interface science
From left to right: two-dimensional materials, electronic interface engineering, light-matter interaction at interfaces, description of realistic catalysts, incommensurate surface nanostructures, surface electrochemistry; Frontier modeling requirements arise from these application challenges, which are listed in the bottom panel.