The DOI matches its Crossref record.
Spin-driven ordering of Cr in the equiatomic high entropy alloy NiFeCrCo
Abstract
Spin-driven ordering of Cr in an equiatomic fcc NiFeCrCo high entropy alloy (HEA) was predicted by first-principles calculations. Ordering of Cr is driven by the reduction in energy realized by surrounding anti-ferromagnetic Cr with ferromagnetic Ni, Fe, and Co in an alloyed L12 structure. The fully Cr-ordered alloyed L12 phase was predicted to have a magnetic moment that is 36% of that for the magnetically frustrated random solid solution. Three samples were synthesized by milling or casting/annealing. The cast/annealed sample was found to have a low temperature magnetic moment that is 44% of the moment in the milled sample, which is consistent with theoretical predictions for ordering. Scanning transmission electron microscopy measurements were performed and the presence of ordered nano-domains in cast/annealed samples throughout the equiatomic NiFeCrCo HEA was identified.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Jin, K., Sales, B. C., Stocks, G. M., Samolyuk, G. D., Daene, M., Weber, W. J., Zhang, Y., & Bei, H. (2016) · Scientific Reports · doi:10.1038/srep20159 · Cited by 258
Sustainability through alloy design: Challenges and opportunities
Cann, J. L., De Luca, A., Dunand, D. C., Dye, D., Miracle, D. B., Oh, H. S., Olivetti, E. A., Pollock, T. M., Poole, W. J., Yang, R., et al. (2021) · Progress in Materials Science · doi:10.1016/j.pmatsci.2020.100722 · Cited by 191
Metadata
- Authors
- Niu, C., Zaddach, A. J., Oni, A. A., Sang, X., Hurt, J. W., LeBeau, J. M., Koch, C. C., & Irving, D. L.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2015-04-20
- Volume
- 106
- Issue
- 16
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2069637099
- Cited by
- 225
- References
- 0
- FWCI
- 20.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Spin-driven ordering of Cr in the equiatomic high entropy alloy NiFeCrCo. https://app.cochat.ai/papers/10.1063/1.4918996
- The paper
- Niu, C., Zaddach, A. J., Oni, A. A., Sang, X., Hurt, J. W., LeBeau, J. M., Koch, C. C., & Irving, D. L. (2015). Spin-driven ordering of Cr in the equiatomic high entropy alloy NiFeCrCo. Applied Physics Letters. https://doi.org/10.1063/1.4918996
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
