2023
DOI: 10.1103/physrevapplied.19.034028
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Linear Regression and Machine Learning for Nuclear Forensics of Spent Fuel from Six Types of Nuclear Reactors

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Cited by 14 publications
(2 citation statements)
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“…For example, in the IAEA database, the majority of the reported incidences involve trafficking of a small quantity of fissile or other radioactive materials, raising concerns about the spreading of radioactivity in the environment. Nuclear forensics, a multidisciplinary branch of analytical science, can play a key role in strengthening safeguard capabilities and ensuring global nuclear security by deterring diversion incidences, even in very small quantities, and providing sufficient evidence on the origin and intended purposes in case of a seizure, that may be useful for legal proceedings. With the advent of advanced analytical methodologies and improved computational capabilities, the branch of nuclear forensics has witnessed rapid development in the recent past and has been able to solve challenging forensic problems using experiments and artificial intelligence/machine learning techniques. …”
Section: Introductionmentioning
confidence: 99%
“…For example, in the IAEA database, the majority of the reported incidences involve trafficking of a small quantity of fissile or other radioactive materials, raising concerns about the spreading of radioactivity in the environment. Nuclear forensics, a multidisciplinary branch of analytical science, can play a key role in strengthening safeguard capabilities and ensuring global nuclear security by deterring diversion incidences, even in very small quantities, and providing sufficient evidence on the origin and intended purposes in case of a seizure, that may be useful for legal proceedings. With the advent of advanced analytical methodologies and improved computational capabilities, the branch of nuclear forensics has witnessed rapid development in the recent past and has been able to solve challenging forensic problems using experiments and artificial intelligence/machine learning techniques. …”
Section: Introductionmentioning
confidence: 99%
“…nternational authorities want to identify the origins of illicit nuclear materials, of which spent fuel from nuclear reactors is an important source. Researchers in China have now developed a set of data manipulations that-given some measurements from an unknown sample-can reliably identify the type of reactor, the level of uranium-235 enrichment, and the exposure time that the fuel experienced in the reactor [1]. Most previous techniques have been based on simulations of the effects of a reactor on nuclear material, and their accuracy was unknown.…”
mentioning
confidence: 99%