Undetected perovskite phase interference with zirconolite dissolution measurements
Thomas L. Goût; Anamul H. Mir; Simon M. Fairclough; Dimitri Pletser; Ian Farnan · 2024 · npj Materials Degradation
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Zirconolite ceramics present a chemically durable host matrix for waste actinides, but zirconolite dissolution rates reported in the literature often vary significantly. Here, the release of Ca and Al from a hot isostatically pressed zirconolite (Ca0.8Zr0.9Ce0.3Ti1.6Al0.4O7.0) was shown to be predominantly driven by preferential dissolution of minor perovskite and alumina phases. Both phases were undetectable by XRD, and the perovskite was difficult to detect by SEM-EDS. Whilst the zirconolite phase exhibited no signs of alteration, dissolution of the perovskite proceeded congruently
Abstract by Thomas L. Goût; Anamul H. Mir; Simon M. Fairclough; Dimitri Pletser; Ian Farnan, npj Materials Degradation (2024) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Stress-Strain Relationships of Fiber Reinforced Phosphogypsum under Uniaxial Compression
Negative / Null Result ReportEffect of storage in water and thermocycling on hardness and roughness of resin materials for temporary restorations
Negative / Null Result ReportExperimental study on bone grinding temperature and force under low temperature spray cooling
Negative / Null Result ReportInvestigation on the Microstructure and Mechanical Properties of T23 Steel of Super-Critical Final Boiler Reheater after Long-Term Service
Null DatasetAluminium trihydroxide in combination with ammonium polyphosphate as flame retardants for unsaturated polyester resin
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.1038/s41529-024-00475-5
