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Area E: Digital Infrastructure

Erwin Laure
Prof. Dr. Erwin Laure
Area Leader
Hans-Joachim Bungartz
Prof. Dr. Hans-Joachim Bungartz
Deputy Area Leader
Ahmed Ilyas
Ahmed Ilyas
Area Coordinator
Lauri Himanen
Lauri Himanen
Infrastructure Coordinator

Providing the reliable and scalable digital infrastructure behind FAIRmat

As FAIRmat services become integral to experimental and computational research, the underlying digital infrastructure must remain reliable, secure, scalable, and easy to use.

FAIRmat Area E develops and operates the NOMAD infrastructure to meet growing demands in data volume, complexity, and distributed use. By strengthening the central services, connecting distributed NOMAD Oasis installations, advancing experiment automation, and integrating AI and computing resources, Area E provides a sustainable and future-ready foundation for FAIR materials research.

Objectives

  • Ensure reliable, secure, and scalable operation of FAIRmat’s core digital services.
  • Enable seamless and secure data exchange across distributed NOMAD installations.
  • Support automated and AI-driven experimentation through integrated instrument control.
  • Make distributed AI, HPC, and computing resources accessible for materials-data analysis.
Diagram showing the FAIRmat Areas with Area E Digital Infrastructure highlighted.

Tasks in Area E

E1: Infrastructure operation and maintenance

Operating and evolving the central NOMAD services to ensure reliable, secure, scalable, and sustainable access.

Task Leader: Erwin Laure

E2: Data federation and integration

Connecting distributed NOMAD Oasis installations to enable secure data sharing and efficient exchange of data and metadata.

Task Leader: Simon Stier

E3: Experiment control and automation

Advancing NOMAD CAMELS for standardized instrument control, automated experimentation, and AI-driven laboratory workflows.

Task Leader: Michael Krieger

E4: AI-ready infrastructure

Integrating AI, HPC, and distributed computing resources to support scalable materials-data analysis, model training, and inference.

Task Leader: Felix Dietrich