Artificial Intelligence Research Platform
Data scientists and researchers from diverse fields at HZDR design and train artificial intelligence models using increasingly large and cross-disciplinary datasets. This approach enables them to develop comprehensive solutions and uncover new insights and applications in the research fields of Matter, Energy, and Health.
The newly established HZDR AI Lab, founded in 2024, serves as a central hub for researchers within HZDR, at other Helmholtz centers, research institutions, and industry.
News from the AI Lab
06.06.2025 AI Lab: HAICON25 Poster Prize for Philip Müller for his work on Uncertainties in Large Language Models
20.05.2025 AI Lab: New Course Portfolio on “AI in Administration & Management”
11.12.2024 AI Lab: Helmholtz Publishes AI Usage Recommendations
More newsIndustry Collaborations
Helmholtz AI Consultant Team
Research Field Matter
AI Publications
Journal articles (refereed), Invited lectures
2025
Data management makes machine learning easier
Korten, T.; Hoffmann, H.; Steinbach, P.; Özkan, Ö.
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Invited lecture (Conferences)
HMC Conference, 12.-14.05.2025, Köln, Deutschland
DOI: 10.6084/m9.figshare.29044814
Hydrogen adsorption energy trends in Mo/WXY (X, Y = S, Se, Te) regular and Janus TMD monolayers: A first-principles and machine learning study
Tejaswini, G.; Sudheer, A. E.; Kumar, A.; Perepu, P. K.; Vallinayagam, M.; et al. (10 authors)
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Journal of Materials Chemistry A (2025)
DOI: 10.1039/D5TA02028J
Virtual pulse reconstruction diagnostic for single-shot measurement of free electron laser radiation power
Mirian, N. S.; Korten, T.; Steinbach, P.; Vladimir, R.
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Physical Review Accelerators and Beams 28(2025), 030703
DOI: 10.1103/PhysRevAccelBeams.28.030703
Combining sequential Gaussian co-simulation and Monte Carlo dropout-based deep learning models for geochemical anomaly detection and uncertainty assessment
Huang, D.; Renguang, Z.; Jian, W.; Tolosana Delgado, R.
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Applied Geochemistry 184(2025), 106385
DOI: 10.1016/j.apgeochem.2025.106385