Brian Powell (Clemson) Thrust Area 1 Lead
Elizabeth Kautz (NCSU) Thrust Area 2 Lead
Nicole Martinez (Clemson) Thrust Area 3 Lead
Amanda Johnson (Penn State) Thrust Area 4 Lead
Kyle Hartig (UF) Thrust Area 5 Lead
Thrust 1: Rapid Turnaround Forensics
Overall goal: Advance the nation’s capabilities for rapid turnaround forensics by integrating advanced analytical and data analysis tools into platforms to maximize the amount and value of information gathered within a 24-hour timeframe
Thrust 2: Advanced Analytical Methods
Overall goal: Our thrust aims to increase the materials analysis capabilities within the forensics community.
Thrust 3: Ultrasensitive Measurements
Overall goal: Improve sensitivity in detection and characterization of select forensics-relevant materials
Thrust 4: Signature Discovery
Overall goal: TA 4 investigates new signatures to identify the provenance of nuclear material, either pre- or post-detonation.
Thrust 5: Prompt Effects and Measurements
Overall goal: Our thrust aims to address basic research interests in nudet prompt phenomena and fireball physics for nuclear forensics.
CC1.1: Cross-Cutting Focus Area 1: HPC and AI Supporting HPC Applications and Analytics Throughout the CNF
Chemical processes: Determine initial set of reactions to model chemical processes in TAs 1-3.
Data management plan: Develop initial strategies to aid TAs 1-5 with the data management plan.
Data science task force: a) Determine team members and stakeholders; b) Establish mission, strategies and goals for years 1 and 2.
Nuclear Forensics Signatures, Shock physics, Transport, and Combustion Codes: Design assessment for computational protocol to aid in evaluation of HPC/AI applications to enhance implementation of nuclear forensics signatures, and potential for HPC/AI enhancements including variants such as multiphysics environments.
Deborah Penchoff (UCF) Cross-Cutting 1 Lead
CC1.2: Cross-Cutting Focus Area 1: HPC and AI Develop Advanced Computational Workshop
Design workshop components and syllabus outline for HPC/data science instruction. (Year 1 Q1/Q2).
Coordinate with CNF’s TAs 1-5 for synergy between experimental and computational components. (Year 1 Q2/Q3).
Coordinate and develop modules with the ACS-NUCL, and the ACS Radiochemistry Summer School (ARSC) and the NVIDIA’s Deep Learning Institute (NDLI) for synergy. (Year 1 Q2/Q3).
Incorporate additional curriculum modules to include CNF’s TAs 1-5, the ACS Radiochemistry Summer School (ARSC), and the NVIDIA’s Deep Learning Institute (NDLI). (Year 1 Q4).
Develop curriculum for in-person workshop. (Year 1 Q4).
Ken Czerwinski (UNLV) Cross-Cutting 2 Lead