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The surfaces of rutile transition-metal oxides (TMO₂) are widely investigated for catalysis, photoelectrochemical solar cells, memristors, and supercapacitors, but their structures have remained controversial. Here we employ density functional theory to predict that a universal behavior of metallic TMO₂ surfaces, i.e., the stoichiometric TMO₂ surfaces, exhibit a contrast reversal in simulated scanning tunneling microscopy (STM) images at different scanning biases. The predictions are verified by experimental STM imaging of RuO₂(110) surfaces and this feature is shown to enable accurate determinations of the TMO₂(110) surface structures under various conditions. This work provides different insights into the electronic properties of TMO₂(110) surfaces and offers an effective method to directly map the surface structure and point defects using bias-dependent STM.
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Feng et al. (2021) studied this question.
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