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Journal of Nuclear Engineering, Volume 6, Issue 3

September 2025 - 19 articles

Cover Story: In present and future fusion devices, detecting hydrogen isotopes, particularly tritium and deuterium, on Plasma-Facing Components (PFCs) is vital for safe operation. Laser-Induced Breakdown Spectroscopy (LIBS) enables direct in situ analysis, reducing handling and downtime. To enhance sensitivity and isotope discrimination, LIBS can be performed under different gases at atmospheric pressure. Here, we present results on tungsten coatings enriched with deuterium and/or hydrogen, analyzed by LIBS in air, He, and Ar. Both He and Ar improve isotope signal resolution over air. Ar offers the additional benefit of detecting implanted He from fusion reactions without interference and increases the signal-to-noise ratio, enabling lower-energy laser pulses for improved depth profiling. View this paper
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Articles (19)

  • Article
  • Open Access
830 Views
26 Pages

Preliminary Experimental Validation of Single-Phase Natural Circulation Loop Based on RELAP5-3D Code: Part I

  • Hossam H. Abdellatif,
  • Joshua Young,
  • David Arcilesi and
  • Richard Christensen

19 September 2025

The molten salt reactor (MSR) is a prominent Generation IV nuclear reactor concept that offers substantial advantages over conventional solid-fueled systems, including enhanced fuel utilization, inherent passive safety features, and significant reduc...

  • Article
  • Open Access
597 Views
29 Pages

Initiating Event Frequencies for Internal Flooding and High-Energy Line Break PRAs

  • Karl N. Fleming,
  • Bengt O. Y. Lydell,
  • Mary Presley,
  • Ali Mosleh and
  • Wadie Chalgham

16 September 2025

Utilities that operate nuclear power plants are increasingly using probabilistic risk assessments (PRAs) to make day-to-day decisions on design, operations, and maintenance and to support risk-informed applications. These applications require high-qu...

  • Review
  • Open Access
673 Views
17 Pages

Assessment of Volatile Radionuclide Release in the ALFRED Lead-Cooled Fast Reactor

  • Ana Ivan,
  • Mariano Tarantino,
  • Mărioara Abrudeanu,
  • Daniela Diaconu and
  • Daniela Gugiu

13 September 2025

This study reviews the release potential of volatile radionuclides in the ALFRED reactor, providing data for source-term evaluations under both normal and postulated accident conditions. Using empirical Henry’s law relations and radionuclide in...

  • Article
  • Open Access
718 Views
12 Pages

1 September 2025

In probabilistic risk assessment (PRA), the fracture limit of fuel cladding tubes under loss-of-coolant accident conditions plays a critical role in determining the core damage, highlighting the need for accurate modeling of cladding tube fracture be...

  • Article
  • Open Access
817 Views
22 Pages

20 August 2025

The HYPEX® process is a novel method for conditioning spent ion exchange resins from nuclear power plants, aiming to reduce final waste volume and carbon emissions by stabilizing the resins in metakaolin-based geopolymers. This study addresses th...

  • Article
  • Open Access
898 Views
20 Pages

Feasibility of an Active Interrogation System to Classify Waste with He-4 Neutron Spectroscopy

  • Andrew Politz,
  • Paolo Tancioni,
  • Oskar Searfus,
  • Eric Aboud,
  • Kelly Jordan and
  • Daniel Siefman

18 August 2025

This work investigates a 4He-detector active interrogation system that leverages neutron spectroscopy to classify nuclear waste streams. MCNP models tested the concept through the simulation of a D-D neutron generator, an array of 4He detectors, and...

  • Article
  • Open Access
647 Views
16 Pages

Validation of the New TLANESY Thermal–Hydraulic Code with Data from the QUENCH-01 Experiment

  • Nahum Contreras-Pérez,
  • Heriberto Sánchez-Mora,
  • Sergio Quezada-García,
  • Armando Miguel Gómez Torres and
  • Ricardo Isaac Cázares Ramírez

12 August 2025

Hydrogen generation and the correct simulation of severe accidents have been of utmost importance since the Fukushima Dai-ichi accident. QUENCH experiments are quite useful for validating mathematical models implemented in system codes for early-phas...

  • Article
  • Open Access
717 Views
13 Pages

Applying Machine Learning Algorithms to Classify Digitized Special Nuclear Material Obtained from Scintillation Detectors

  • Sai Kiran Kokkiligadda,
  • Cathleen Barker,
  • Emily Gunger,
  • Jalen Johnson,
  • Brice Turner and
  • Andreas Enqvist

11 August 2025

The capability to discriminate among nuclear fuel properties is essential for a successful nuclear safeguard and security program. Accurate nuclear material identification is hindered due to challenges such as differing levels of enrichments, weak ra...

  • Article
  • Open Access
784 Views
16 Pages

The results of a recently developed Serpent 2 model of the Oregon State TRIGA® Reactor (OSTR) are compared to the results from the OSTR MCNP® model and measured values for reactor steady state behavior. This benchmark comparison is performed...

  • Article
  • Open Access
1,426 Views
27 Pages

Some of nuclear power’s primary detractors are the unique environmental challenges and impacts of radioactive wastes generated during fuel cycle operations. Key benefits of spent fuel reprocessing (SFR) are reductions in primary high active was...

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J. Nucl. Eng. - ISSN 2673-4362Creative Common CC BY license