27–28 Oct 2026
MPI for Sustainable Materials
Europe/Berlin timezone

Contribution List

13 out of 13 displayed
  1. 27/10/2026, 13:00
  2. 27/10/2026, 13:15

    MPI-BGC is a co-applicant in the second funding phase of NFDI4Earth, which starts in October 2026. We present a brief overview of the project and our role in it. We then focus on which services are built around AI. Specifically, we show how Foundation Models are developed in geosciences and how NFDI4Earth can improve their reusability.

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  3. 27/10/2026, 14:00

    Semantic web resources or Knowledge Graphs have emerged as a preferential source of training data for large language models and generative artificial intelligence. Domain specific Knowledge Graphs are currently being constructed by various NFDI consortia to enhance AI readiness and interoperability of data and metadata within and across these domains.

    Here, we outline the construction of...

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  4. 27/10/2026, 15:15

    AI applications in materials science and catalysis increasingly depend on access to large, well-structured and semantically meaningful experimental datasets. In this contribution, we will discuss how FAIRmat addresses these challenges through community-agreed data standards, semantic data models, and the NOMAD ecosystem.1,2 Examples from activities at the MPI for Chemical Energy Conversion...

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  5. 27/10/2026, 16:00
  6. 27/10/2026, 16:45
  7. 28/10/2026, 09:00

    The Fotothek of the Bibliotheca Hertziana has been experimenting with AI tools to produce datasets, to improve applications and to support scientific cataloguing with different results on different tasks. I would like to report on this and detail successes and failures, including some more detailed testing done for inscriptions part of the Art collection of the institute.

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  8. 28/10/2026, 09:45
  9. 28/10/2026, 11:00

    Modern scientific workflows increasingly depend on research software, yet numerical experiments often face challenges in reliability, robustness, and interoperability. Although novel algorithms continue to emerge, their adoption across disciplines is frequently limited by the difficulty of integrating them into established workflows.
    Research data are often insufficiently annotated,...

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  10. 28/10/2026, 11:45

    Base4NFDI is a joint initiative of all discipline-specific 26 Consortia within the National Research Data Infrastructure (NFDI) to foster and establish reliable NFDI-wide basic services for FAIR research data management. Here, I will provide an update on current activities (development projects supported, incubators, user conference, ...) as well as ideas and discussions about a potential...

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  11. 28/10/2026, 13:30

    Neben der Frage, wie Konsortien Daten für KI-Training aufbereiten, stellt sich die Frage nach der zugrundeliegenden Infrastruktur: Wie wird Ressourcennutzung über Konsortiengrenzen hinweg erfasst, zugeordnet und abgerechnet?

    Dieser Beitrag stellt den aktuellen Stand von Accounting4NFDI vor: die Erfassung und Aggregation von Ressourcennutzungsdaten aus verschiedenen Konsortien und...

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  12. 28/10/2026, 14:15
  13. 28/10/2026, 15:45