Computational Materials Design for Ceramic Nuclear Waste Forms Using Machine Learning, First-Principles Calculations, and Kinetics Rate Theory
Ceramic waste forms are designed to immobilize radionuclides for permanent disposal in geological repositories. One of the principal criteria for the effective incorporation of waste elements is their compatibility with the host material. In terms of performance under environmental conditions, the resistance of the waste forms to degradation over long periods of time is a critical concern when they are exposed to natural environments. Due to their unique crystallographic features and behavior in nature environment as exemplified by their natural analogues, ceramic waste forms are capable of in... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | Materials, Vol 16, Iss 14, p 4985 (2023) |
Verlag/Hrsg.: |
MDPI AG
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Schlagwörter: | ceramic waste forms / apatite / hollandite / machine learning / first-principles calculations / rate theory / Technology / T / Electrical engineering. Electronics. Nuclear engineering / TK1-9971 / Engineering (General). Civil engineering (General) / TA1-2040 / Microscopy / QH201-278.5 / Descriptive and experimental mechanics / QC120-168.85 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28662506 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3390/ma16144985 |