Ge-STAR

Germanium-based Science and Technology Advancement Research

NSF

National Science Foundation


Ge-STAR is a statewide research incubator that integrates artificial intelligence (AI) to revolutionize high-purity germanium (Ge) crystal growth and detector development. Its mission is to enable advances in dark matter detection, medical imaging, and scientific education by leveraging South Dakota's unique infrastructure and diverse institutional collaboration.

Mission Image

Mission

Ge-STAR envisions national leadership in AI-powered germanium crystal growth and detector innovation for dark matter science, health diagnostics, and education.


Science

  • Develop novel Ge detectors with internal charge amplification (GeICA) for sub-eV sensitivity.
  • Detect MeV-scale dark matter and solar neutrinos.
  • Advance understanding of rare-event physics using low-background experiments at SURF.
  • Complement experiments like SuperCDMS and LZ with ultra-sensitive Ge technology.

Technologies Used:

  • Dislocation-free Ge crystal growth (Czochralski method)
  • Strip Ge detectors for spatial resolution
  • AI-enhanced signal/background discrimination (RT3: AI Integration)

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Collaboration

Institutions Involved:

Key Roles:

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World Class Facilities

Ge-STAR institutions provide access to cutting-edge labs and tools for Ge growth, detector fabrication, and AI integration—advancing materials science and training future STEM leaders.

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Educational Opportunities

Programs:

  • Undergraduate & graduate research fellowships
  • ML/AI Summer School (DSU)
  • ABET-accredited Engineering Physics and CMP tracks
  • GenCyber Camp for K–12 outreach
  • Internships and curriculum development
Impact Targets:
  • 84 undergrads, 16 graduate students, 8 postdocs
  • 28 K–12 teachers and 350 students
  • 30% URM and female student recruitment

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Outreach & Engagement

Community Activities:

Social Impact Research: