FAIRmat is co-organizing two symposia during the DPG Spring Meeting in Regensburg:
Pushing the Boundaries of Fair Data Practices for Condensed Matter Insights: From Workflows to Machine Learning (SYFD)
Symposium of the divisions O, CPP, DS, and MA
Date & Time: Wednesday, March 19, 2025; 09:30–12:15
Room: H1
Organizers:
- Frank Schreiber, University of Tübingen, Germany
- Bridget Murphy, Kiel University, Germany
- Claudia Draxl, Humboldt-Universität zu Berlin, Germany
This symposium will showcase best practices in FAIR data and the development of streamlined workflows for open data and machine learning techniques. Jointly organized by DAPHNE4NFDI and FAIRmat, topics will cover optimizing data collection methodologies and workflows, implementing electronic lab notebooks for efficient data recording, and integrating on-the-fly analysis techniques to enhance experimental outcomes. The symposium will feature cutting-edge advancements in data analysis methodologies, focusing on machine learning techniques for synchrotron and neutron data. Participants will discuss the integration of machine learning algorithms for data processing and the challenges associated with big data storage and management in condensed matter research.
AI-driven Materials Design: Recent Developments, Challenges and Perspectives (SYMD)
Symposium of the divisions MM, HL, KFM, MA, O, and AKPIK
Date & Time: Monday, March 17, 2025, 15:00–17:45
Room: H1
Organizers:
- Jörg Neugebauer, Max Planck Institute for Sustainable Materials, Düsseldorf, Germany
- Silvana Botti, Ruhr University Bochum, Germany
- Luca Ghiringhelli, FAU Erlangen-Nürnberg, Germany
This symposium will highlight the transformative impact of AI in materials science. Key topics include the development and application of machine learning models, highthroughput computational techniques, and the integration of AI with experimental and theoretical methods. Leading experts will present recent advances and success stories in AI and data-driven materials design, showcasing how AI accelerates the discovery of new materials and optimizes manufacturing processes. The session will also address current challenges and explore future perspectives in this rapidly evolving field.