What has been achieved?

• Developed models that predict and explain trends in the defect adsorption energetics for metal adatom adsorption in monolayer TMDs.

• These models are based on an understanding of changes in bonding character, hybridization, and electronic structure (e.g., d-band center).

• Our simpler and interpretable models perform comparably well to more complex machine learning studies.

Why is this achievement important?

• Demonstrate that materials trends exist in the defect energetics and hence switching energetics in resistive switching applications.

• Insights provide rational materials selection rules for materials in the active switching layer and the electrodes.

How is the achievement related to the IRG/MRSEC, and how does it help it achieve its goals?

• Provides framework for identifying materials trends at defective interfaces in heterostructures involving 2D materials

• Understanding defects in 2D materials is critical to their use and operation in electronic devices