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PSDI & Royce Materials Data Summit

29–31 Jul 2026
Nancy Rothwell Building, University of Manchester, Manchester, UK
Europe/London timezone

Conference organisers

Session

Invited talks

30 Jul 2026, 11:25
2B.020 (Nancy Rothwell Building, University of Manchester, Manchester, UK)

2B.020

Nancy Rothwell Building, University of Manchester, Manchester, UK

Nancy Rothwell Building, The University of Manchester, Oxford Road, Manchester, M13 9PL

Presentation materials

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  1. 24. Introduction to the Physical Sciences Data Infrastructure
    Brian Matthews
    30/07/2026, 11:25
    Talk (invited)
  2. 25. Introduction to segmenting TEM images via machine learning and synthetic data
    Andrew Stewart (University College London)
    30/07/2026, 11:55
    Tutorial (invited)

    Supervised segmentation of nanoparticles in TEM images is held back by annotation: hand-labelling is slow, subjective, and hard to reproduce, the very opposite of FAIR. TEMPOS (Transmission Electron Microscopy Pipeline for Object Segmentation) inverts the problem. Rather than annotate experimental images, it generates physically informed synthetic micrographs whose ground truth is known by...

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  3. 21. Large Language Model Agents for Materials Research Workflows
    30/07/2026, 12:25
    Talk (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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  4. 26. TBA
    Christoph Eberl
    30/07/2026, 15:40
    Talk (invited)
  5. 11. A Whole New Lab: Exploring ELNs and Digital Transformation
    30/07/2026, 16:10
    Digital research tools
    Talk (invited)

    Electronic Lab Notebooks (ELNs) are becoming an increasingly important part of the digital research landscape. They have evolved from basic digital versions of paper notebooks to fully fledged systems that (if implemented properly) can help researchers improve collaboration, reproducibility, and FAIR (Findable, Accessible, Interoperable, and Reusable) data practices. Yet the introduction of...

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  6. 29. (StC) Digital transformation at Royce
    Stuart Kitney
    31/07/2026, 10:55
    Talk (invited)
  7. 30. TBA
    Robert Quarshie
    31/07/2026, 11:50
    Talk (invited)
  8. 31. TBA
    Jesper Friis
    31/07/2026, 12:20
    Talk (invited)
  9. 41. Multimodal AI for Materials Design
    31/07/2026, 15:00
    Talk (invited)

    Artificial intelligence (AI) is accelerating materials prediction and design by enabling efficient exploration of chemical and structural spaces, with particular promise for novel materials discovery. However, novelty in materials discovery encompasses chemical plausibility, structural distinctiveness, property relevance and experimental realisability, making AI-driven novelty claims difficult...

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  10. 19. ICAT: metadata cataloguing for scientific facilities
    Patrick Austin (STFC)
    31/07/2026, 15:30
    Talk (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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  11. 27. TBA
    Samantha Pearman-Kanza
    Talk (invited)
  12. 32. TBA
    Talk (invited)
  13. 33. TBA
    Patrick Austin (STFC)
    Talk (invited)
Building timetable...