Zirconium in the Nuclear Industry: Thirteenth International Symposium
Bibliographic record
Abstract
Description This unique publication provides an international overview on the production and use of Zr alloys, their properties and behavior during nuclear service, the design of Zr components and their testing after service. Papers cover the historical aspects of research on Zr alloys; basic metallurgy, including studies of second phase particles; irradiation creep and growth; material performance during LOCA (loss of coolant accidents); and RIA (reactivity initiated accident). Half of the papers in STP 1423 relate to corrosion and hydriding behavior, the most important current issues in the industry. A quarter of the papers deal with in-reactor studies. The remaining papers discussed the behavior and properties of Zr alloys for the intermediate storage of spent fuel. STP 1423 is a valuable resource for engineers and scientists involved in the processing and properties of Zr alloys, the production and use of Zr alloy reactor components, their behavior during service and property changes that occur with increasing neutron fluences. 42 peer-reviewed papers provide an international overview of the production and use of Zr alloys. Learn about: • Production and use of Zr alloys in the nuclear industry • Properties and behavior during nuclear service • Corrosion and hydriding during service • Dimensional changes during service • Design of Zr components • Testing after service • Effect of alloy microstructure and composition on behavior • Studies of the composition, properties and behavior of the oxides formed during service
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.039 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".