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Brian Matthews30/07/2026, 11:25Talk (invited)
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Andrew Stewart (University College London)30/07/2026, 11:55Tutorial (invited)
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30/07/2026, 12:25Talk (invited)
Large language models (LLMs) are emerging as a new interface between researchers, scientific data, and computational tools. In materials science, they offer opportunities to simplify access to complex workflows, accelerate data-driven research, and support inverse materials design. However, the reliability and scientific utility of LLMs depend critically on the availability of standardized...
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Christoph Eberl30/07/2026, 15:40Talk (invited)
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Samantha Pearman-Kanza30/07/2026, 16:10Talk (invited)
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Stuart Kitney31/07/2026, 10:55Talk (invited)
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Robert Quarshie31/07/2026, 11:50Talk (invited)
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Jesper Friis31/07/2026, 12:20Talk (invited)
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31/07/2026, 15:00Talk (invited)
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Patrick Austin (STFC)31/07/2026, 15:30Talk (invited)
ICAT is a flexible solution for managing scientific metadata and data from a wide variety of domains following the FAIR data principles. In addition to the core service providing relational models for scientific and administrative metadata, there are a number of additional components that extend the functionality to provide web-based user interfaces, DOI minting and landing pages, plugin-based...
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Patrick Austin (STFC)Talk (invited)
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