Project Grant 2437417

Award Date 7/1/25
Completion Date 6/30/29
Dollars Obligated $338K
Federal Grant Program
47.083
Assistance Type
Project Grant
Place of Performance
Spearfish, SD 57799, USA
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This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $1,562,289 to the University of South Dakota (USD) to advance germanium-based science and technology for detecting low-energy particles. The 4-year project (7/1/2025 - 6/30/2029) will leverage artificial intelligence and innovative fabrication techniques to enhance germanium material research and detector technology. Key objectives include improving the detection of...
This Project Grant award, totaling $218,423, was provided by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) to South Dakota State University (SDSU) from July 1, 2025 to June 30, 2029. The grant supports a collaborative research initiative to advance germanium (Ge) material research and detector technology using artificial intelligence (AI) and innovative fabrication techniques. Led by SDSU, this statewide project includes six South Dakota institutions and...
This $932,864 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) supports a collaborative research initiative led by the South Dakota School of Mines and Technology (SDSM&T). The project aims to advance germanium (Ge)-based material research and detector technology using artificial intelligence (AI) and innovative fabrication techniques. The key products and services to be delivered include: Developing AI-driven Ge crystal growth and...
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This Project Grant award, provided by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083), supports a collaborative research initiative led by the University of South Dakota (USD) to advance germanium (Ge)-based detector technology. The $337,678 award, effective July 1, 2025 through June 30, 2029, aims to enhance the detection of low-energy particles and improve the accuracy of medical imaging. The project will leverage artificial intelligence (AI) and innovative fabrication techniques to optimize Ge purification, crystal growth, and detector manufacturing, improving detector sensitivity. Additionally, the initiative will evaluate the impact of advanced Ge-based imaging on healthcare in local communities and provide hands-on training to 100 college students and engage 380 K-12 students and teachers across South Dakota. This collaborative effort includes six institutions in South Dakota, two industry partners (Avera Health and Sanford Health), and will strengthen cutting-edge physics and engineering research through integration with the Sanford Underground Research Facility.

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