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Texas A&M welcomes uranium conversion research
The Texas A&M Engineering Experiment Station (TEES) has signed a research agreement with Quantum Leap Energy (QLE) “to advance and de-risk the commercial production of high-purity uranium hexafluoride (UF6).”
QLE is an Austin, Texas–based subsidiary of ASP Isotopes (ASPI), which is developing an isotope enrichment platform for applications in nuclear energy, nuclear medicine, and semiconductors. QLE specializes in the uranium conversion step of the nuclear fuel cycle—the conversion of yellowcake uranium concentrate (U3O8) into UF6 prior to enrichment.
S. Mirzaee, M. Aghaie
Nuclear Science and Engineering | Volume 200 | Number 2 | February 2026 | Pages 429-443
Regular Research Article | doi.org/10.1080/00295639.2025.2484878
Articles are hosted by Taylor and Francis Online.
Using the representative volume element (RVE) method and finite element simulation, the stress and strain in the matrix of a fresh (0% fissions per initial metal atom burnup) UO2-Zr plate-type fuel were evaluated, considering both the periodic (ideal) and random dispersions of fissile particles. The histograms and descriptive statistics of Mises stress and the equivalent plastic strain in the matrix were computed and compared for both random and ideal distributions of particles. Our findings suggest that the random distribution of fissile particles has no considerable impact on the mechanical behavior of the zirconium matrix with respect to the ideal pattern. The plate performance related to the random distribution can be evaluated by examining descriptive statistics, such as the mean and standard deviation of the Mises stress, the cumulative probability of the average mean, and histograms of equivalent plastic strain and its distribution. These descriptive statistics can be utilized for the design of nuclear fuel plates; however, our study was limited by the assumptions and simplifications of the RVE and finite element calculations. Future work could include more realistic models, suitable failure criteria, and experimental validation.