Corrosion costs the U.S.A. a few percent of its gross national product. Given the ubiquity of metals in modern materials and infrastructure, a comprehensive predictive model of oxidation is necessary for the tailored design of robust corrosion-resistant coatings. However, classical models of oxidation (e.g. Wagner or Cabrera-Mott theory) use the simplifying assumption of the uniform growth of metal oxides due to the lack of historical experimental tools to explore structural changes at the nanoscale. In situ environmental transmission electron microscopy (ETEM) experiments challenges these classical assumptions. Furthermore, in situ ETEM observations of metal oxidation allow for the continuous collection of data during a chemical process, in contrast to ex situ experiments, which can introduce ambiguity of results (e.g. exposure to ambient environment during specimen transfer or temporal gaps) and these ambiguous results can increase the overall costs of computational modeling. This work aims to establish a correlative investigation utilizing theory and in situ ETEM in tandem to bridge the spatial and temporal gaps between experimental and computational approaches. Initially focusing on the oxidation of copper (a well-studied model system for metal oxidation) [1], ultimately this work aspires to develop a continuous and precise predictive model of oxidation across all studied scales of measurement.We investigated the Cu 2 O island nucleation preference sites (edge or terrace) using both experiment and theory for three low index ((001), (011), and (111)) copper film surfaces (~70 nm thick) were grown via ultra-high vacuum electron-beam evaporation on a NaCl crystal of a specific orientation. These single crystalline Cu films were annealed in situ using a Hitachi H9500 ETEM equipped with a double-tilt heating holder (T max = 1000 °C) -to produce faceted holes of pristine Cu surfaces -using a hydrogen atmosphere (1x10 -3 Torr H 2 ). Initiation of controlled oxidation (O 2 ) at 350 °C was achieved using a custom built gas delivery system with three gas input lines a variety of available gases (CH 4 , CO 2 , CO, H 2 , H 2 O, Methanol, and O 2 ). Computational methods, such as climbing image nudged elastic band within density functional theory (NEB-DFT) and molecular mechanics frameworks provided a quantitative and comprehensive assessment of the relative energetics of oxygen adsorption states, activation barriers, and surface reconstructions for different facets. [2,3] The most probable diffusion pathways of oxygen and adsorption sites predict whether nucleation of Cu 2 O is preferred at edge or terrace sites for given surface orientations (Figure 1). Our initial results showed good agreement between the identified nucleation site preferences determined by our computational models and those observed with in situ ETEM (Figure 2). The Cu 2 O island density (the number of islands/ total perimeter of holes) was determined from dark field TEM images and was found to increase from Cu (001) > (011) > (111) 4.9x10 -3 , 1.5 x...