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Record W4416589306 · doi:10.1016/j.matdes.2025.115211

Design criteria for single-phase non-equiatomic refractory multiprincipal element alloys from the Nb-Ti-Zr system

2025· article· en· W4416589306 on OpenAlexaff
Sebastian Lech, Jason Hattrick‐Simpers, Elaf A. Anber, Michael J. Waters, Howie Joress, Debashish Sur, Emily Holcombe, James M. Rondinelli, John R. Scully, Mitra L. Taheri

Bibliographic record

VenueMaterials & Design · 2025
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsUniversity of Toronto
FundersOffice of Naval ResearchWhiting School of Engineering, Johns Hopkins University
KeywordsHigh entropy alloysAlloyRefractory (planetary science)OxygenPhase (matter)Stoichiometry

Abstract

fetched live from OpenAlex

• Design criteria for stable, single-phase refractory high entropy alloys from Nb-Ti-Zr system are established. • Combinational synthesis enabled screening through large portion of the Nb-Ti-Zr system. • Dissolved oxygen is the primary factor destabilizing the desired single-phase BCC structure. • Ti-rich compositions had higher oxygen tolerance than Zr-rich ones, despite similar oxygen solubility. Refractory high entropy alloys (RMPEAs) hold promise as candidate materials for high-temperature applications challenging widely used nickel-based superalloys. RMPEAs application is currently limited by their low structure and phase stability in the presence of oxygen, which can be improved by single-phase alloy design. This study establishes design criteria for achieving single-phase, non-equiatomic RMPEAs through a systematic exploration of the Nb-Ti-Zr compositional space. Using combinatorial synthesis via magnetron co-sputtering and high-throughput characterization, we map phase stability across a broad compositional range. We identify a stable single-phase BCC region for compositions containing 19.5–55 at.% Nb, 43–59 at.% Ti, and less than 30.5 at.% Zr. Monte Carlo simulations were used to predict the phase formation at high temperatures along with electron microscopy revealing phase segregations at high-Zr compositions, exploring the role of soluble oxygen in phase formation. Our findings provide a foundation for the rational alloy design, explain the effect of each element, and pave a path for further exploration and modification of the identified compositional space.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.285
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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