Nuclear Forensics Methodology for Reactor-Type Attribution of Chemically Separated Plutonium-Reference-Cited by-同舟云学术

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Nuclear Forensics Methodology for Reactor-Type Attribution of Chemically Separated Plutonium

Published:2017-12-08 Issue:1 Volume:201 Page:1-10
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Osborn Jeremy M.¹²,Kitcher Evans D.¹,Burns Jonathan D.¹,Folden Charles M.³,Chirayath Sunil S.¹²^ORCID

Affiliation:

1. Texas A&M University, Nuclear Security Science & Policy Institute, College Station, Texas 77843

2. Texas A&M University, Department of Nuclear Engineering, College Station, Texas 77843

3. Texas A&M University, Cyclotron Institute, College Station, Texas 77843

Funder

U.S. Department of Homeland Security

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2017.1401442

Reference15 articles.

1. Nuclear Forensic Analysis

2. Explosive properties of reactor‐grade plutonium

3. The design of the Prototype Fast Breeder Reactor

4. Neutronic and nonproliferation characteristics of (PuO2–UO2) and (PuO2–ThO2) as fast reactor fuels

5. Weapon-Grade Plutonium Production Potential in the Indian Prototype Fast Breeder Reactor

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determination of the source location of anthropogenic radionuclides collected in Finland and Sweden in June 2020 using a multi-technology analysis;Journal of Environmental Radioactivity;2024-09

2. Age Dating of Repurified and Mixed Plutonium Using Machine Learning;Nuclear Science and Engineering;2024-05-20

3. Validation of a Machine Learning–Based Nuclear Forensics Methodology for the Discrimination of a Chemically Separated Plutonium Sample from Low-Enriched Uranium;Nuclear Science and Engineering;2023-11-14

4. Nondestructive and destructive assay for forensics characterization of weapons-grade plutonium produced in LEU irradiated in a thermal neutron spectrum;Annals of Nuclear Energy;2023-04

5. Linear Regression and Machine Learning for Nuclear Forensics of Spent Fuel from Six Types of Nuclear Reactors;Physical Review Applied;2023-03-09

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