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Journal of Nuclear Engineering, Volume 4, Issue 3

September 2023 - 9 articles

Cover Story: Reliably attributing sources from the manual analysis of radiation spectra limits the amount of labeled data available to train state-of-the-art machine learning models. Using data collected at the Multi-Informatics for Nuclear Operations Scenarios testbed, semi-supervised learning methods capable of leveraging unlabeled, along with labeled, data are compared. The models include Co-training, Label Propagation, and Exponential Averaging Adversarial Training. The performance of these models at distinguishing between nuclear material transfers and other types of anomalous events is compared to a supervised logistic regression model. Each semi-supervised model outperforms the baseline when labeled data are scarce, suggesting that using uncharacterized spectra can alleviate the high cost of labeling. View this paper
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Articles (9)

  • Article
  • Open Access
5 Citations
11,450 Views
20 Pages

13 September 2023

An analysis of the peculiarities of the German Uranium Project (1939–1945) reveals that it was, in many ways, different from what one would expect. There was no work at all on a possible bomb, nor on plutonium. The reactor experiments were limi...

  • Article
  • Open Access
1 Citations
2,882 Views
9 Pages

1 September 2023

Rhenium-186 (Re-186) has attracted attention as a medical isotope. The feasibility of producing Re-185, the raw material for Re-186, using a fast reactor was evaluated using a continuous energy Monte Carlo code. The irradiation of natural tantalum (T...

  • Review
  • Open Access
4 Citations
3,969 Views
23 Pages

16 August 2023

Many advanced reactor concept designs rely on high-assay low-enriched uranium (HALEU) fuel, enriched up to approximately 19.75% 235U by weight. Efforts are underway by the US government to increase HALEU production in the United States to meet antici...

  • Article
  • Open Access
24 Citations
6,839 Views
37 Pages

Advancements in Designing the DEMO Driver Blanket System at the EU DEMO Pre-Conceptual Design Phase: Overview, Challenges and Opportunities

  • Francisco A. Hernández,
  • Pietro Arena,
  • Lorenzo V. Boccaccini,
  • Ion Cristescu,
  • Alessandro Del Nevo,
  • Pierre Sardain,
  • Gandolfo A. Spagnuolo,
  • Marco Utili,
  • Alessandro Venturini and
  • Guangming Zhou

3 August 2023

The EU conducted the pre-conceptual design (PCD) phase of the demonstration reactor (DEMO) during 2014–2020 under the framework of the EUROfusion consortium. The current strategy of DEMO design is to bridge the breeding blanket (BB) technology...

  • Article
  • Open Access
4 Citations
2,088 Views
13 Pages

2 August 2023

The present study investigated the release of tritium from beryllium irradiated at 323 K to a neutron fluence of 4.67 × 1026 m−2 (E > 1 MeV), corresponding up to 22,000 appm helium and 2000 appm tritium productions. The TPD tests revea...

  • Article
  • Open Access
1 Citations
2,118 Views
17 Pages

The Plutonium Temperature Effect Program

  • Nicolas Leclaire and
  • Vaibhav Jaiswal

2 August 2023

Various theoretical studies have shown that highly diluted plutonium solutions could have a positive temperature effect, but up to now, no experimental program has confirmed this effect. The French Plutonium Temperature Effect Experimental Program (o...

  • Review
  • Open Access
10 Citations
6,254 Views
51 Pages

18 July 2023

Rhodium is one of the scarcest, most valuable, and useful platinum group metals, a strategically important material relied on heavily by automotive and electronics industries. The limited finite natural sources of Rh and exponentially increasing dema...

  • Article
  • Open Access
6 Citations
2,314 Views
17 Pages

8 July 2023

Multi-abnormal events, referring to the simultaneous occurrence of multiple single abnormal events in a nuclear power plant, have not been subject to consideration because multi-abnormal events are extremely unlikely to occur and indeed have not yet...

  • Article
  • Open Access
4 Citations
3,573 Views
19 Pages

SNM Radiation Signature Classification Using Different Semi-Supervised Machine Learning Models

  • Jordan R. Stomps,
  • Paul P. H. Wilson,
  • Kenneth J. Dayman,
  • Michael J. Willis,
  • James M. Ghawaly and
  • Daniel E. Archer

4 July 2023

The timely detection of special nuclear material (SNM) transfers between nuclear facilities is an important monitoring objective in nuclear nonproliferation. Persistent monitoring enabled by successful detection and characterization of radiological m...

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J. Nucl. Eng. - ISSN 2673-4362