Effect of Zr addition on the structure, nanomechanical properties, and helium irradiation behavior of the novel MoTaTiV body-centered cubic concentrated solid solution alloy
Bibliographic record
Abstract
The rapidly developing technology of fusion reactors requires the development of new materials with enhanced radiation resistance. In this study, two new equimolar concentrated solid solution alloys (CSAs), MoTaTiV and MoTaTiVZr, designed for nuclear applications, were synthesized using magnetron sputtering. The MoTaTiV alloy exhibited a columnar microstructure, characteristic for materials produced via magnetron sputtering, and a body-centered cubic (BCC) structure. The addition of Zr to form the quinary MoTaTiVZr alloy led to the formation of an amorphous phase due to increased lattice distortion caused by the introduction of Zr into the crystal structure of the base alloy. To evaluate the irradiation resistance of the synthesized alloys, the materials were irradiated with 200 keV He⁺ ions. In the case of MoTaTiV, helium bubble formation was initially observed primarily at column boundaries, which serve as preferential nucleation sites. However, at a fluence of 5 × 10¹⁶ cm⁻², bubbles were also detected within the matrix. For the MoTaTiVZr alloy, due to its amorphous structure, bubbles were uniformly distributed throughout the matrix. Despite these differences in He accumulation behavior, the bubbles in the MoTaTiVZr CSA were slightly smaller, indicating that increasing lattice distortion inhibits bubble growth. Furthermore, the absence of radiation-induced hardening in both materials suggests a high intrinsic resistance to radiation damage.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".