On the performance of metallic coating barriers in U-Mo/Al fuels: A quantitative evaluation of Al/X/U-Mo trilayer structures (X = Mo, Zr, or W) under heavy ion irradiation

This study evaluates the effectiveness of molybdenum (Mo), zirconium (Zr), and tungsten (W) coatings as diffusion barriers in U-Mo/Al fuel systems, aiming to suppress interdiffusion between U-Mo and Al, a process that significantly degrades fuel performance. Well-defined Al/X/U-Mo trilayer structures (X = Mo, Zr, or W) with coating thicknesses ranging from 50 nm to 5 µm were subjected to heavy ion irradiation with iodine or xenon ions up to 7 × 10 17 ions/cm 2 , simulating fission product damage under varied irradiation conditions. Cross-sectional scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) analyses revealed distinct performance trends: Mo coatings underwent rapid consumption and formed Al-Mo intermixing layers that promoted continued U-Mo-Al interdiffusion, indicating poor long-term stability. Zr coatings exhibited thickness-dependent behavior, with thin layers fully consumed while thicker coatings provided notable resistance. W coatings with thicknesses ≥ 1 µm showed the highest stability, effectively suppressing interdiffusion under the tested conditions, consistent with the less thermodynamically favorable formation of Al-W compounds. These findings provide quantitative guidance for selecting robust diffusion barriers in advanced U-Mo/Al fuel architectures and help explain mechanisms observed in in-pile irradiation experiments.

Authors

Institutions

Publication Details

Journal
Journal of Nuclear Materials
Published
2026-03-15
DOI
https://doi.org/10.1016/j.jnucmat.2026.156586
Primary Topic
Nuclear Materials and Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the performance of metallic coating barriers in U-Mo/Al fuels: A quantitative evaluation of Al/X/U-Mo trilayer structures (X = Mo, Zr, or W) under heavy ion irradiation

Tobias Chemnitz, Jingyi Shi, Eric Fuchs, W. Petry et al.
Journal of Nuclear Materials
Nuclear Materials and Properties
article

On the performance of metallic coating barriers in U-Mo/Al fuels: A quantitative evaluation of Al/X/U-Mo trilayer structures (X = Mo, Zr, or W) under heavy ion irradiation

Tobias Chemnitz, Jingyi Shi, Eric Fuchs, W. Petry, Christian Schwarz, Anna Oberbauer, Florian Troll
article en

Abstract

This study evaluates the effectiveness of molybdenum (Mo), zirconium (Zr), and tungsten (W) coatings as diffusion barriers in U-Mo/Al fuel systems, aiming to suppress interdiffusion between U-Mo and Al, a process that significantly degrades fuel performance. Well-defined Al/X/U-Mo trilayer structures (X = Mo, Zr, or W) with coating thicknesses ranging from 50 nm to 5 µm were subjected to heavy ion irradiation with iodine or xenon ions up to 7 × 10 17 ions/cm 2 , simulating fission product damage under varied irradiation conditions. Cross-sectional scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) analyses revealed distinct performance trends: Mo coatings underwent rapid consumption and formed Al-Mo intermixing layers that promoted continued U-Mo-Al interdiffusion, indicating poor long-term stability. Zr coatings exhibited thickness-dependent behavior, with thin layers fully consumed while thicker coatings provided notable resistance. W coatings with thicknesses ≥ 1 µm showed the highest stability, effectively suppressing interdiffusion under the tested conditions, consistent with the less thermodynamically favorable formation of Al-W compounds. These findings provide quantitative guidance for selecting robust diffusion barriers in advanced U-Mo/Al fuel architectures and help explain mechanisms observed in in-pile irradiation experiments.

Journal of Nuclear MaterialsVol. 626
Heinz Maier-Leibnitz Zentrum (DE)
Openalex Percentile: Top 22%
Nuclear Materials and Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.