Investigating Ice Defects Mobility under an External Bias Potential
ORAL
Abstract
In this work, we analyzed the role of the interstitial and vacancy defects in ice conductivity, as well as the defects' mobility under external perturbations through the structure and electronic properties of ice Ih at the interface of gold (Au) electrodes. This is accomplished using a combination of density functional theory (DFT) and non-equilibrium Green's function methods (NEGF).
*The author would like to acknowledge the financial support from Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq Grant # 140163/2023-9) and CAPES (Scholar Visiting Scholarship edict number 26/2024). Calculations were carried out at CENAPAD-SP and at the Santos Dumont High Performance Facilities of Laboratorio Nacional de Computacao Cientifica (LNCC), Brazil. The author also thanks the Institute for Advanced Computational Science at Stony Brook University for access to the high-performance SeaWulf and Ookami computing systems. This work was also funded by the NSF research award (Award #: 102224), Optimally Designed Exchange-Correlation Functionals for Solids Using Machine Learning.
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Publication: 1. Mannino, A. et al. First-Principles Nanocapacitor Simulations of the Optical Dielectric Constant in Water Ice. Preprint at https://doi.org/10.48550/arXiv.2506.23003 (2025).
2. Computational Characterization of Ice/Au Interfaces: Investigating Polarization and Electrochemical Properties under External Bias Potential (planned paper)
Presenters
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Graciele M Arvelos
- Institute of Theoretical Physics