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Leveraging Machine Learning Based Microphotonic Nuclear Forensics Capabilities for Integrated Nuclear Safeguards and Security Threat Prevention in a Prospective Nuclear Power Program
- 1. Department of Physics, University of Nairobi (Kenya)
Description
• The renaissance in nuclear power programs in Africa including Kenya has ramifications for proliferation. • A critical challenge is placed on the classical (radiochemical, radiometric) techniques with regard to nuclear forensics tasks that demand direct rapid analysis of proliferation materials. • We demonstrate the leveraging of machine learning of microphotonics to advance the state-of-the-art nuclear forensics measurements essential to nuclear safeguards and security. (author)
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54089271.pdf
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Additional details
Identifiers
Publishing Information
- Imprint Title
- Symposium on International Safeguards: Reflecting on the Past and Anticipating the Future
- Imprint Pagination
- vp.
- Journal Page Range
- 1 p.
- Report number
- IAEA-CN--303
Conference
- Title
- Reflecting on the Past and Anticipating the Future
- Acronym
- Symposium on International Safeguards
- Dates
- 31 Oct - 4 Nov 2022
- Place
- Vienna (Austria)
INIS
- Country of Publication
- International Atomic Energy Agency (IAEA)
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54089271
- Subject category
- S98: NUCLEAR DISARMAMENT, SAFEGUARDS AND PHYSICAL PROTECTION;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- MACHINE LEARNING; NUCLEAR FORENSICS; NUCLEAR POWER; NUCLEAR SECURITY; PROLIFERATION; RADIOCHEMISTRY; SAFEGUARDS
- Descriptors DEC
- ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHEMISTRY; CRIME DETECTION; DETECTION; LEARNING; MATHEMATICAL LOGIC; POWER; SECURITY
Optional Information
- Secondary number(s)
- IAEA-CN--303-111