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Publications (149)
RSSESARDA Bulletin N.63 - A unique Salt and Pepper strategy for testing the knowledge present in the language models, while also introducing auditability function in our pipeline.
ESARDA Bulletin N.63 - NukeLM, a nuclear-domain language model pre-trained on 1.5 million abstracts from the U.S. Department of Energy Office of Scientific and Technical Information (OSTI) database. This NukeLM model is then fine-tuned for the classification of research articles.
ESARDA Bulletin N.63 - This work is part of a series of two documents that consider the use of ML to improve one aspect of safeguards, namely nuclear material accountancy.
ESARDA Bulletin N.63 - Several neural networks architectures and detector responses were compared to find the optimal network configuration to infer the spent fuel parameters.
ESARDA Bulletin N.62, The International Journal of Nuclear Safeguards and Non-Proliferation
ESARDA Bulletin N.62 - The exploratory research project SLT4SFG, has the objective to provide an evidence-based analysis on the benefits and challenges of Distributed Ledger Technology (DLT) systems for the nuclear sector, with special emphasis on safeguards.
ESARDA Bulletin N.62 - The European Commission JRC, in collaboration with Liege University, has developed the Tools for Innovation Monitoring Dual-use (TIM DU) platform that can facilitate the identification of entities publishing research with a dual-use potential in the various countries.
ESARDA Bulletin N.62 - This work highlights the versatility of such a system, which extends to applications where not only simple neutron counting is required but neutron energy information is also of interest to assess the radiological risk caused by a neutron flux.
ESARDA Bulletin N.62 - The statistical analysis used to reach these conclusions requires that each measurement method undergo uncertainty quantification (UQ). Training for safeguards inspectors includes measurement error models that must account for variation within and between groups.
ESARDA Bulletin N.62 - This work builds on previous efforts, and systematically studies the effects of assumptions about the fuel properties (such as its dimensions) and its irradiation conditions in the reactor, on the Rossi-Alpha Distribution (RAD) and τ.