Solid State Informatics
Aron Walsh a
a Department of Materials, Royal School of Mines, Imperial College London, London SW7 2AZ, England
Proceedings of 24th International Conference on Solid State Ionics (SSI24)
Fundamentals: Experiment and simulation
London, United Kingdom, 2024 July 14th - 19th
Organizers: John Kilner and Stephen Skinner
Contributed talk, Aron Walsh, presentation 320
Publication date: 10th April 2024

The landscape of solid-state materials research is transforming with the integration of new techniques and tools from the artificial intelligence (AI) community. These changes are being facilitated by progress in hardware, including classical supercomputers and emerging commercial quantum computers, alongside software advancements incorporating advanced algorithms and statistical machine learning models [1]. Recent developments such as large language models and diffusion-based generative techniques are unlocking application areas ranging from teaching aides to self-driving laboratories. I will introduce the field of data-driven materials research, highlighting its potential to enhance chemical discovery and expedite the identification of compounds essential for advancing the next generation of clean energy technologies [2,3]. It will include insights from recent progress in understanding the nature of superionic, as well as mixed ionic-electronic conducting materials, while addressing obstacles such as reliable structure-property databases to enable more powerful models and the need for transparent reporting to ensure they are repeatable and reproducible [4].

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