AI@HZDR: 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

26.08.2024 AI Lab: With its kickoff, the HZDR AI Lab launches a new website

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Foto: Materials of the future thanks to faster simulations, KI@HZDR ©Copyright: Blaurock/HZDR

About us

Our AI Lab is the central hub for AI-related topics at the HZDR.
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Foto: Icon AI offers ©Copyright: iStock

AI LAB: Offers and Expertise

Our goal is to le­verage our expertise in AI for research, innovation, and collaboration with industry partners.
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Foto: Icon AI consulting ©Copyright: iStock

Helmholtz AI Consultant Team

We develop and disseminate AI-supported data science solutions to tackle the grand challenges in research and society.
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Foto: Brain-inspired computing ©Copyright: Blaurock Markenkommunikation/HZDR

Mat­ter Research Area

Particle accelerators, future materials, brain-inspired computing, planetary research
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Foto: Artificial intelligence supports the search for hard-to-reach mineral resources ©Copyright: HZDR/Blaurock Markenkommunikation

Energy Research Area

Machine learning methods drive the search for raw materials
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Foto: Cancer irradiation with the highest precision ©Copyright: Blaurock Markenkommunikation/HZDR

Health Research Area

AI algorithms improve the diagnosis and treatment of cancer
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AI Publications

Journal articles (refereed), Invited lectures

2024

Towards Data-Driven Optimization of Experiments in Photon Science

Kelling, J.; Checkervarty, A.; Willmann, A.; Rustamov, J.; Aguilar, R. A.; et al. (6 authors)

  • Invited lecture (Conferences)
    Seminar at ELI Beamlines, 28.08.2024, Dolni Brezany, Czech Republic

Solving Differential Equations with Machine Learning

Cangi, A.

  • Invited lecture (Conferences)
    IMPRS Summer School 2024: Machine learning and Many body systems in or out of equilibrium, 29.-31.07.2024, Wroclaw, Poland

Introduction to Deep Learning

Cangi, A.

  • Invited lecture (Conferences)
    IMPRS Summer School 2024: Machine learning and Many body systems in or out of equilibrium, 29.-31.07.2024, Wroclaw, Poland

Machine Learning in Density Functional Theory: Physics-Informed Neural Networks and Neural Operators

Cangi, A.

  • Invited lecture (Conferences) (Online presentation)
    Progress in Ensemble Density Functional Theory: Opportunities and Challenges, 22.-25.07.2024, Durham, United Kingdom

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification

Yu, W.; Zhang, X.; Das, S.; Zhu, X. X.; Ghamisi, P.

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