Advanced Reactor Design, Nonproliferation, and Fuel Cycle Monitoring
2025 ETI Summer School on Advanced Reactor Design, Nonproliferation, and Fuel Cycle Monitoring was held in-person at Georgia Institute of Technology, Atlanta, GA, and Oak Ridge National Laboratory, TN, August 4 – 8, 2025. Students and researchers of all academic levels were invited to apply. About 15 applicants were approved to participate this summer school. They are U.S. citizens or Lawful Permanent Residents from universities and national labs, including undergraduate, graduate students, and scientist researchers.
In this summer school, cross-cutting technologies across core disciplines were explored to train the next-generation of nuclear innovators, including safeguards, global security, new reactors and new challenges, 3D printing to rapid prototyping, and machine learning for nonproliferation. Comprehensive lab demonstrations, hands-on activities, and tours were also conducted, including travel to ORNL.
Financial support from the ETI consortium was provided, including lunch, hotel, and travel to Georgia Institute of Technology and Oak Ridge National Laboratory. Join us for the future program!
Registration
Please register here or scan the QR code by July 7, 2025. Eligibility requirement: U.S. citizen or lawful permanent resident.
Please contact us for any questions: Kierra Payne (kierra.payne@me.gatech.edu), or Dr. Yuguo Tao (yuguo.tao@gatech.edu).
Syllabus (agenda)
The detailed syllabus (preliminary agenda) of this summer school is available now.
Study Materials
All the study materials used at this summer school are saved in the ETI Google Drive, including slides, dataset, algorithms, instructions, etc.
Join us! Here’s what participants learned:
(1) Lecture Topics:
- The introduction to advanced reactor designs
- Nuclear nonproliferation and safeguards for bulk fuel systems
- Radiation detection technologies for fuel cycle monitoring
- Machine learning in reactor monitoring and safeguards
- 3D printing for nuclear applications
(2) Hands-on Activities:
- Assembly and testing of radiation detectors
- Data acquisition and analysis
- Machine learning workshop for training anomaly detection
- 3D printing lab for designing and fabricating components
- Group-based reactor monitoring simulation
(3) In addition, participants join a various of teams to maximize interdisciplinary collaboration. Lab demonstrations and tours are also going to be conducted, including travel to ORNL.
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