Login

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

There are no materials yet.

  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...

    Go to contribution page
  3. 21. Large Language Model Agents for Materials Research Workflows
    Jan Janssen (Max Planck Institute for Sustainable Materials)
    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...

    Go to contribution page
  4. 26. How MaterialsCommons helps accelerate the Digital Transformation of MSE in Europe
    Christoph Eberl
    30/07/2026, 15:40
    Talk (invited)
  5. 11. A Whole New Lab: Exploring ELNs and Digital Transformation
    Dr Samantha Pearman-Kanza (University of Southampton)
    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...

    Go to contribution page
  6. 29. Delving into the Data: Why Materials 4.0 Depends on Measurement Science, Not Just AI
    Stuart Kitney
    31/07/2026, 10:55
    Talk (invited)

    The UK's investment in Materials 4.0 is skewed: of nearly 6,000 identified projects, over 95% target algorithms and digital tools, while barely 5% address the data ontologies, measurement protocols and shared infrastructure that make those tools trustworthy. AI models, digital twins and autonomous laboratories are only as good as the characterisation data feeding them, and volume cannot...

    Go to contribution page
  7. 15. Support for Digitalisation in Materials and Manufacturing
    Dr Robert Quarshie (Head of Materials and Manufacturing, Innovate UK Business Connect)
    31/07/2026, 11:50
    Talk (invited)

    Continual improvements in data collection, processing, and secured management are required to harness the full potential of AI and other digital technologies. The talk will touch on Innovate UK Business Connect’s place in the UKRI system and how we support innovation from early ideas through to scale. I will share examples of how we are supporting materials, manufacturing and digital...

    Go to contribution page
  8. 31. TBA
    Jesper Friis
    31/07/2026, 12:20
    Talk (invited)
  9. 41. Multimodal AI for Materials Design
    Xianyuan Liu (University of Sheffield)
    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...

    Go to contribution page
  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...

    Go to contribution page
Building timetable...