Autonomous Workflows for the Discovery of Ionic Oxide Conductors at Low Temperatures
Armando Morin Martinez a, Benjamin Sjølin a, R Baby Dhanalakshmi a, Vincenzo Esposito a, Ivano Castelli a
a Department of Energy Conversion and Storage, Technical University of Denmark (DTU)
Proceedings of 24th International Conference on Solid State Ionics (SSI24)
Emerging Materials for High-Performance Devices
London, United Kingdom, 2024 July 14th - 19th
Organizers: John Kilner and Stephen Skinner
Oral, Armando Morin Martinez, presentation 238
Publication date: 10th April 2024

Oxide ion conductors (OICs) currently excel at temperatures exceeding 700 °C. However, this high temperature range presents limitations in material options and energy requirements for ion mobility initiation. To integrate OICs into modern energy storage technologies, it is crucial to identify materials enabling oxygen mobilization at lower temperatures while maintaining thermodynamic stability. This entails reducing the energy needed for the diffusion process and expanding the range of compatible materials.

In this study, we leverage autonomous workflows and Density Functional Theory (DFT) calculations to screen 5,400 A7B4B’O20 hexagonal perovskites. These materials exhibit quasi-2D interstitial oxygen diffusion at the interface. Our computational screening aims to identify systems with energy barriers below 1.0 eV, utilizing the Nudged Elastic Band (NEB) approach.

The culmination of our efforts yielded a promising selection of 37 candidate structures, each meticulously scrutinized and deliberated upon. This research marks a significant step towards overcoming conventional temperature constraints in oxide ion conductor technology, offering potential breakthroughs in energy storage.

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