Recorded 30 October 2025. Annabella Selloni of Princeton University presents "Insights into the Chemistry of Aqueous Oxide Interfaces from Machine Learning Molecular Dynamics" at IPAM's Boundary Conditions for Atomistic Simulations in Macroscopic Electrochemical Cells Workshop. Abstract: Aqueous solution-oxide interfaces have a critical role in many environmental, biological, and energy-relevant processes. In this talk, I shall discuss recent applications of deep neural network based molecular dynamics simulations to understand the structure and properties of aqueous electrolyte-metal oxide interfaces. Focusing on the interfaces of TiO2, a prototypical metal oxide known for its numerous applications in photocatalysis and electrochemistry, specific topics will include a characterization of the Electrical Double Layer at the TiO2-electrolyte interface under different pH conditions [1] and the effect of an external electric field on water dissociation at the interface [2]. [1] C. Zhang et al., Nature Commun., 15, 10270 (2024). [2] C. Zhang et al., Proc. Natl. Acad. Sci. (2025); 10.1073/pnas.2505929122. Learn more online at: https://www.ipam.ucla.edu/programs/workshops/workshop-iii-boundary-conditions-for-atomistic-simulations-in-macroscopic-electrochemical-cells/