Feasibility Study on Production of High-Purity Rhenium-185 by Nuclear Transmutation of Natural Tantalum.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 625, doi. 10.3390/jne4030039
- By:
- Publication type:
- Article
Works matching IS 26734362 AND DT 2023 AND VI 4 AND IP 3
Results: 9
1
2
The Peculiarities of the German Uranium Project (1939–1945).
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 634, doi. 10.3390/jne4030040
- By:
- Publication type:
- Article
3
A Review of Candidates for a Validation Data Set for High-Assay Low-Enrichment Uranium Fuels.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 602, doi. 10.3390/jne4030038
- By:
- Publication type:
- Article
4
Advancements in Designing the DEMO Driver Blanket System at the EU DEMO Pre-Conceptual Design Phase: Overview, Challenges and Opportunities.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 565, doi. 10.3390/jne4030037
- By:
- Publication type:
- Article
5
Tritium Desorption Behavior and Microstructure Evolution of Beryllium Irradiated at Low Temperature Up to High Neutron Dose in BR2 Reactor.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 552, doi. 10.3390/jne4030036
- By:
- Publication type:
- Article
6
The Plutonium Temperature Effect Program.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 535, doi. 10.3390/jne4030035
- By:
- Publication type:
- Article
7
A Review of Opportunities and Methods for Recovery of Rhodium from Spent Nuclear Fuel during Reprocessing.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 484, doi. 10.3390/jne4030034
- By:
- Publication type:
- Article
8
Multi-Abnormality Attention Diagnosis Model Using One-vs-Rest Classifier in a Nuclear Power Plant.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 467, doi. 10.3390/jne4030033
- By:
- Publication type:
- Article
9
SNM Radiation Signature Classification Using Different Semi-Supervised Machine Learning Models.
- Published in:
- Journal of Nuclear Engineering (JNE), 2023, v. 4, n. 3, p. 448, doi. 10.3390/jne4030032
- By:
- Publication type:
- Article